@proceedings {1522,
	title = {Boa: A Language and Infrastructure for Analyzing Ultra-Large-Scale Software Repositories},
	year = {2013},
	month = {05/2013},
	pages = {422-431},
	abstract = {In today{\textquoteright}s software-centric world, ultra-large-scale software repositories, e.g. SourceForge (350,000+ projects), GitHub (250,000+ projects), and Google Code (250,000+ projects) are the new library of Alexandria. They contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important hypotheses. However, systematic extraction of relevant data from these repositories and analysis of such data for testing hypotheses is hard, and best left for mining software repository (MSR) experts! The goal of Boa, a domain-specific language and infrastructure described here, is to ease testing MSR-related hypotheses. We have implemented Boa and provide a web-based interface to Boa{\textquoteright}s infrastructure. Our evaluation demonstrates that Boa substantially reduces programming efforts, thus lowering the barrier to entry. We also see drastic improvements in scalability. Last but not least, reproducing an experiment conducted using Boa is just a matter of re-running small Boa programs provided by previous researchers.},
	keywords = {ease of use, forge, github, google code, lower barrier to entry, mining, repository, reproducible, scalable, Software, sourceforge},
	author = {Dyer, Robert and Nguyen, Hoan Anh and Rajan, Hridesh and Nguyen, Tien N.}
}
@conference {zmzkh-icsm-2013,
	title = {How does Context affect the Distribution of Software Maintainability Metrics?},
	booktitle = {Proceedings of the 29th IEEE International Conference on Software Maintainability},
	series = {ICSM {\textquoteright}13},
	year = {2013},
	note = {"FLOSSMole [25] is another data source, from
where we download descriptions (i.e., application domain)
of SourceForge software systems. Furthermore, we download
latest application domain information4
and monthly download
data5 of studied software systems directly from SourceForge."},
	abstract = {Software metrics have many uses, e.g., defect prediction, effort estimation, and benchmarking an organization against peers and industry standards. In all these cases, metrics may depend on the context, such as the programming language. Here we aim to investigate if the distributions of commonly used metrics do, in fact, vary with six context factors: application domain, programming language, age, lifespan, the number of changes, and the number of downloads. For this preliminary study we select 320 nontrivial software systems from SourceForge. These software systems are randomly sampled from nine popular application domains of SourceForge. We calculate 39 metrics commonly used to assess software maintainability for each software system and use Kruskal Wallis test and Mann-Whitney U test to determine if there are significant differences among the distributions with respect to each of the six context factors. We use Cliff{\textquoteright}s delta to measure the magnitude of the differences and find that all six context factors affect the distribution of 20 metrics and the programming language factor affects 35 metrics. We also briefly discuss how each context factor may affect the distribution of metric values.We expect our results to help software benchmarking and other software engineering methods that rely on these commonly used metrics to be tailored to a particular context.},
	keywords = {benchmark, context, contextual factor, flossmole, large scale, metrics, mining software repositories, sampling, software maintainability, sourceforge, static metrics},
	attachments = {https://flosshub.org/sites/flosshub.org/files/icsm2013_contextstudy.pdf},
	author = {Zhang, Feng and Audris Mockus and Ying Zou and Foutse Khomh and Hassan, Ahmed E.}
}
@book {1532,
	title = {How Healthy Is My Project? Open Source Project Attributes as Indicators of Success},
	series = {IFIP Advances in Information and Communication Technology Open Source Software: Quality Verification},
	volume = {404},
	year = {2013},
	note = {"The dataset used has thus been obtained through a third source which has made
the data publicly available [18]. FlossMole.org contains data collected for the period
2006 to December 2009 from which a dataset was compiled of 125,700 projects. "},
	pages = {30 - 44},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {Determining what factors can influence the successful outcome of a software project has been labeled by many scholars and software engineers as a difficult problem. In this paper we use machine learning to create a model that can determine the stage a software project has obtained with some accuracy. Our model uses 8 Open Source project metrics to determine the stage a project is in. We validate our model using two performance measures; the exact success rate of classifying an Open Source Software project and the success rate over an interval of one stage of its actual performance using different scales of our dependent variable. In all cases we obtain an accuracy of above 70\% with one away classification (a classification which is away by one) and about 40\% accuracy with an exact classification. We also determine the factors (according to one classifier) that uses only eight variables among all the variables available in SourceForge, that determine the health of an OSS project.
},
	keywords = {flossmole, sourceforge},
	isbn = {978-3-642-38928-3},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-38928-3_3},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-38928-3_3},
	attachments = {https://flosshub.org/sites/flosshub.org/files/OSSHealth_1.0.pdf},
	author = {Piggot, James and Amrit, Chintan},
	editor = {Petrinja, Etiel and Succi, Giancarlo and Ioini, Nabil and Sillitti, Alberto}
}
@book {1531,
	title = {Is It All Lost? A Study of Inactive Open Source Projects},
	series = {IFIP Advances in Information and Communication Technology Open Source Software: Quality Verification },
	volume = {404},
	year = {2013},
	pages = {61 - 79},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {
Open Source Software (OSS) proponents suggest that when developers lose interest in their project, their last duty is to {\textquotedblleft}hand it off to a competent successor.{\textquotedblright} However, the mechanisms of such a hand-off are not clear, or widely known among OSS developers. As a result, many OSS projects, after a certain long period of evolution, stop evolving, in fact becoming {\textquotedblleft}inactive{\textquotedblright} or {\textquotedblleft}abandoned{\textquotedblright} projects. This paper presents an analysis of the population of projects contained within one of the largest OSS repositories available (SourceForge.net), in order to describe how projects abandoned by their developers can be identified, and to discuss the attributes and characteristics of these inactive projects. In particular, the paper attempts to differentiate projects that experienced maintainability issues from those that are inactive for other reasons, in order to be able to correlate common characteristics to the {\textquotedblleft}failure{\textquotedblright} of these projects.
},
	keywords = {sourceforge},
	isbn = {978-3-642-38928-3},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-38928-3_5},
	url = {http://staff.lero.ie/stol/files/2013/03/2013-Is-It-All-Lost-A-Study-of-Inactive-Open-Source-Projects.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/2013-Is-It-All-Lost-A-Study-of-Inactive-Open-Source-Projects.pdf},
	author = {Khondu, Jymit and Capiluppi, Andrea and Stol, Klaas},
	editor = {Petrinja, Etiel and Succi, Giancarlo and Ioini, Nabil and Sillitti, Alberto}
}
@article {IJC397,
	title = {Preliminary steps toward a general theory of internet-based collective-action in digital information commons: Findings from a study of open source software projects},
	journal = {International Journal of the Commons},
	volume = {7},
	number = {2},
	year = {2013},
	abstract = {This paper presents some of the findings from a 5-year empirical study of FOSS (free/libre and open source software) commons, completed in 2011. FOSS projects are Internet-based common property regimes where the project source code is developed over the Internet. The resulting software is generally distributed with a license that provides users with the freedoms to access, use, read, modify and redistribute the software. In this study we used three different and very large datasets (approximately 107,000; 174,000 and 1400 cases respectively) with information on FOSS projects residing in Sourceforge.net, one of the largest, if not the largest, FOSS repository in the world. We employ various quantitative methods to uncover factors that lead some FOSS projects to ongoing collaborative success, while others become abandoned. After presenting some of our study{\textquoteright}s results, we articulate the collaborative {\textquotedblleft}story{\textquotedblright} of FOSS that emerged. We close the paper by discussing some key findings that can contribute to a general theory of Internet-based collective-action and FOSS-like forms of digital online commons.},
	keywords = {collaborative success and abandonment, common property regime, digital information commons, flossmole, Free/libre software, open source software, sourceforge, srda},
	issn = {1875-0281},
	url = {http://www.thecommonsjournal.org/index.php/ijc/article/view/URN\%3ANBN\%3ANL\%3AUI\%3A10-1-114926},
	author = {Charles Schweik and Robert English}
}
@conference {1316,
	title = {An Empirical Study of Volunteer Members{\textquoteright} Perceived Turnover in Open Source Software Projects},
	booktitle = {45th Hawai{\textquoteright}i International Conference on System Sciences},
	year = {2012},
	note = {"After designing the questionnaire, we conducted a web-based survey by inviting developers working in sourceforge.net and launchpad.net."},
	month = {01/2012},
	pages = {3396-3405},
	abstract = {Turnover of volunteer members and the ensuing instability bring about severe problems to open source software (OSS) projects. To better understand it, we based our study on Herzberg ́s two-factor theory to investigate the influence of hygiene factors on volunteer members ́ dissatisfaction and perceived turnover. After empirically testing the research model, we found shortcomings in project regulation and administration are the key reason for volunteer members ́ dissatisfaction, followed by future rewards and personal needs for software functionalities. By contrast, a possible lack of supportive working relationship among OSS developers was not found to be a trigger for developer dissatisfaction. Dissatisfaction was confirmed to be a significant predictor of perceived turnover. The results demonstrates generalized hygiene factors cannot unreflectively be transferred into the OSS context because volunteer members ́ personal expectation has a weaker influence on perceived turnover than objective attributes of OSS project. Our study further makes suggestions for project administrators.},
	keywords = {developers, launchpad, sourceforge, Survey},
	author = {Yu, Yiqing and Benlian, Alexander and Hess, Thomas}
}
@proceedings {1377,
	title = {Examining Turnover in Open Source Software Projects Using a Logistic Hierarchical Linear Modeling Approach},
	volume = {378},
	year = {2012},
	month = {09/2012},
	address = {Eighth International Conference on Open Source Systems},
	abstract = {Developer turnover in open source software projects is a critical and insufficiently researched problem. Previous research has focused on understanding the developer motivations to contribute using either the individual developer perspective or the project perspective. In this exploratory study we argue that because the developers are embedded in projects it is imperative to include both perspectives. We analyze turnover in open source software projects by including both individual developer level factors, as well as project specific factors. Using the Logistic Hierarchical Linear Modeling approach allows us to empirically examine the factors influencing developer turnover and also how these factors differ among developers and projects.},
	keywords = {Logistic Hierarchical Linear Modeling, sourceforge, turnover},
	author = {Sharma, P.N. and Hulland, J. and Daniel, S.}
}
@article {1589,
	title = {Integrating FLOSS repositories on the Web},
	year = {2012},
	note = {"To provide the researchers easy access to the project{\textquoteright}s data, two research projects were initiated (with slightly different objective)
by the FLOSS research community which are FLOSSmole and FLOSSMetrics , also known as {\textquotedblleft}repository of repositories (RoR){\textquotedblright}. These RoRs were created to consolidate metadata and analysis of projects from a variety of code forges into a centralized place for use by the researchers in academia and industry.

"In this paper, we take into consideration only project{\textquoteright}s metadata from the code forges which are
made available to download by the FLOSSmole community. Further, we only study Googlecode
and Sourceforge data for this paper, although our methods extend to other code forges as well.

Names are not available for the developers in the database dump of
Googlecode provided by FLOSSmole, so we consider matching only developer ID(s) in the case of
Googlecode."},
	month = {2012},
	abstract = {This paper provides a novel approach to the problem of integrating data from multiple code forges of FLOSS. We review the current problems in integrating the data from multiple forges and argue that Semantic Web technologies are suitable for representing knowledge contained in code forges. Further, we show the advantage of linking the metadata of projects to other data sources on the Web which will enable querying extra information from the Web. The paper briefly describes how the modeling is achieved and what benefits can be obtained by enabling linking to other relevant data sources already available on the Web.},
	keywords = {flossmole, google code, sourceforge},
	url = {https://www.researchgate.net/publication/259757473_Integrating_FLOSS_repositories_on_the_Web},
	attachments = {https://flosshub.org/sites/flosshub.org/files/DERI-TR-AFTAB-2012-12-10_0.pdf},
	author = {Iqbal, Aftab and Cyganiak, Richard and Hausenblas, Michael}
}
@proceedings {1452,
	title = {Two Evolution Indicators for FOSS Projects},
	volume = {378},
	year = {2012},
	month = {09/2012},
	pages = {216-232},
	publisher = {IFIP AICT},
	abstract = {In this paper we introduce two project evolution indicators. One is showing an increase of downloads of the project and therefore a growing interest of users in the results of the project. The second indica- tor is predicting the future evolution of the project with the submission of new revisions to the concurrent versioning system. Both indicators can provide evidence of the sustainability of a software project. We used the General Linear Model method to statistically formulate the two linear equations that can be used to predict the two indicators. The predicting equations were build by using two stratified data samples one of 760 projects and the second of 880 projects extracted from the SourceForge repository. The six metrics included into the final version of the two models were extracted from a set of thirty project and product metrics as: the number of downloads, the number of developers, etc. We have validated the discriminant and the concurrent validity of the two models by using different statistical tests as the goodness-of-fit and we have used the two models to predict the indicators on two hold-out validation samples. The model predicting the increment of downloads was correct in 75 percent of the cases, the model predicting the submission of new revisions was correct in 93 percent of the cases.},
	keywords = {metrics, sourceforge},
	author = {Petrinja, Etiel and Succi, Giancarlo}
}
@proceedings {1289,
	title = {Cliff Walls: An Analysis of Monolithic Commits Using Latent Dirichlet Allocation},
	year = {2011},
	note = {"Our data set consists of the version control logs of almost 10,000 projects from SourceForge, acquired in late 2006"},
	month = {10/2011},
	pages = {282-298},
	publisher = {Springer},
	abstract = {Artifact-based research provides a mechanism whereby researchers may study the creation of software yet avoid many of the difficulties of direct observation and experimentation. However, there are still many challenges that can affect the quality of artifact-based studies, especially those studies examining software evolution. Large commits, which we refer to as {\textquotedblleft}Cliff Walls,{\textquotedblright} are one significant threat to studies of software evolution because they do not appear to represent incremental development. We used Latent Dirichlet Allocation to extract topics from over 2 million commit log messages, taken from 10,000 SourceForge projects. The topics generated through this method were then analyzed to determine the causes of over 9,000 of the largest commits. We found that branch merges, code imports, and auto-generated documentation were significant causes of large commits. We also found that corrective maintenance tasks, such as bug fixes, did not play a significant role in the creation of large commits.},
	keywords = {artifacts, commit, cvs, LDA, lines of code, log files, scm, sloc, sourceforge, version control},
	author = {Pratt, Landon J. and MacLean, Alexander C. and Knutson, Charles D. and Ringger, Eric K.}
}
@proceedings {1287,
	title = {To Fork or Not to Fork: Fork Motivations in SourceForge Projects},
	year = {2011},
	note = {"Using this search function, we compiled a list of all of the programs with the word {\textquotedblleft}fork{\textquotedblright}..."
"We then analyzed the motivations stated in the descriptions of the forked programs...."
"Based on the descriptions entered by the developer, we were able to identify motivations for 381 of the forks."
},
	month = {10/2011},
	pages = {259-268},
	publisher = {Springer},
	abstract = {A project fork occurs when software developers take a copy of source code from one software package and use it to begin an independent development work that is maintained separately from its origin. Although forking in open source software does not require the permission of the original authors, the new version, nevertheless, competes for the attention of the same developers that have worked on the original version. The motivations developers have for performing forks are many, but in general they have received little attention. In this paper, we present the results of a study of forks performed in SourceForge (http://sourceforge.net/) and list the developers{\textquoteright} motivations for their actions. The main motivation, seen in close to half of the cases of forking, was content modification; either adding content to the original program or focusing the content to the needs of a specific segment of users. In a quarter of the cases the motivation was technical modification; either porting the program to new hardware or software, or improving the original.},
	keywords = {fork rate, sourceforge},
	author = {Nyman, Linus and Mikkonen, Tommi}
}
@inbook {springerlink:10.1007/978-3-642-13244-5_20,
	title = {Download Patterns and Releases in Open Source Software Projects: A Perfect Symbiosis?},
	booktitle = {Open Source Software: New Horizons},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {319},
	year = {2010},
	note = {"We apply experimentally our method to the most downloaded projects of SourceForge{\textquoteright}s history crawled through the FLOSSMole repository."},
	pages = {252-267},
	publisher = {Springer Boston},
	organization = {Springer Boston},
	abstract = {Software usage by end-users is one of the factors used to evaluate the success of software projects. In the context of open source software, there is no single and non-controversial measure of usage, though. Still, one of the most used and readily available measure is data about projects downloads. Nevertheless, download counts and averages do not convey as much information as the patterns in the original downloads time series. In this research, we propose a method to increase the expressiveness of mere download rates by considering download patterns against software releases. We apply experimentally our method to the most downloaded projects of SourceForge{\textquoteright}s history crawled through the FLOSSMole repository. Findings show that projects with similar usage can have indeed different levels of sensitivity to releases, revealing different behaviors of users. Future research will develop further the pattern recognition approach to automatically categorize open source projects according to their download patterns.},
	keywords = {flossmole, oss2010, sourceforge},
	url = {http://dx.doi.org/10.1007/978-3-642-13244-5_20},
	author = {Rossi, Bruno and Russo, Barbara and Succi, Giancarlo},
	editor = {{\r A}gerfalk, P{\"a}r and Boldyreff, Cornelia and Gonz{\'a}lez-Barahona, Jes{\'u}s and Madey, Gregory and Noll, John}
}
@conference {1258,
	title = {Exploring Complexity in Open Source Software: Evolutionary Patterns, Antecedents, and Outcomes},
	booktitle = {2010 43rd Hawaii International Conference on System Sciences (HICSS 2010)},
	year = {2010},
	note = {"The sample of projects was drawn from SourceForge"
"projects were selected that were built with C++."
"Applying the selection criteria generated a total of 108 projects for analysis"
"Scientific Toolwork{\textquoteright}s Understand (version 1.4)"},
	pages = {1 - 11},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Honolulu, Hawaii, USA},
	abstract = {Software complexity is important to researchers and managers, yet much is unknown about how complexity evolves over the life of a software application and whether different dimensions of software complexity may exhibit similar or different evolutionary patterns. Using cross-sectional and longitudinal data on a sample of 108 open source projects, this research investigated how the complexity of open source project releases varied throughout the life of the project. Functional data analysis was applied to the release histories of the projects and recurring evolutionary patterns were derived. There were projects that saw little evolution, according to their measures of size and structural complexity. However, projects that displayed some evolution often differed on the pattern of evolution depending on whether size or structural complexity was examined. Factors that contribute to and result from the patterns of complexity were evaluated, and implications for research and practice are presented.},
	keywords = {complexity, evolution, fda, life cycle, sourceforge, srda},
	isbn = {978-1-4244-5509-6},
	doi = {10.1109/HICSS.2010.198},
	attachments = {https://flosshub.org/sites/flosshub.org/files/10-07-02.pdf},
	author = {Darcy, David P. and Daniel, Sherae L. and Stewart, Katherine J.}
}
@article {1240,
	title = {Impact of Programming Language Fragmentation on Developer Productivity},
	journal = {International Journal of Open Source Software and Processes},
	volume = {2},
	year = {2010},
	month = {32/2010},
	pages = {41 - 61},
	abstract = {Programmers often develop software in multiple languages. In an effort to study the effects of programming language fragmentation on productivity{\textemdash}and ultimately on a developer{\textquoteright}s problem-solving abilities{\textemdash}the authors present a metric, language entropy, for characterizing the distribution of a developer{\textquoteright}s programming efforts across multiple programming languages. This paper presents an observational study examining the project contributions of a random sample of 500 SourceForge developers. Using a random coefficients model, the authors find a statistically (alpha level of 0.001) and practically significant correlation between language entropy and the size of monthly project contributions. Results indicate that programming language fragmentation is negatively related to the total amount of code contributed by developers within SourceForge, an open source software (OSS) community.},
	keywords = {commits, entropy, language entropy, programming languages, sourceforge, srda},
	issn = {1942-3934},
	doi = {10.4018/jossp.2010040104},
	author = {Krein, Jonathan L. and MacLean, Alexander C. and Knutson, Charles D. and Delorey, Daniel P. and Eggett, Dennis L.}
}
@conference {1257,
	title = {The Importance of Social Network Structure in the Open Source Software Developer Community},
	booktitle = {2010 43rd Hawaii International Conference on System Sciences},
	year = {2010},
	note = {"Using data from the SourceForge Research Data Archive [2, 9] and the new dataset of concurrent versions system (CVS) metadata described in [8]..." (M. Van Antwerp. Studying open source versioning metadata. Master{\textquoteright}s thesis, University of NotreDame, Notre Dame, IN, January 2009)
"To measure long-term popularity, we used the SourceForge activity percentile."},
	pages = {1 - 10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Honolulu, Hawaii, USA},
	abstract = {This paper outlines the motivations and methods for analyzing the developer network of open source software (OSS) projects. Previous work done by Hinds [5] suggested social network structure was instrumental towards the success of an OSS project, as measured by activity and output. The follow-up paper by Hinds [4] discovered that his hypotheses, based on social network theory and previous research on the importance of subgroup connectedness, were vastly different than the results of his study of over 100 successful OSS projects. He concluded that the social network structure had no significant effect on project success. We outline how his approach disregarded potentially important factors and through a new study evaluate the role of the OSS developer network as it pertains to long-term project popularity. We also present an initial investigation into the adequacy of using the SourceForge activity percentile as a long-term success metric. In contrast with Hinds, we show that previously existing developer-developer ties are an indicator of past and future project popularity.},
	keywords = {developers, popularity, project success, social network analysis, sourceforge, srda},
	isbn = {978-1-4244-5509-6},
	doi = {10.1109/HICSS.2010.385},
	attachments = {https://flosshub.org/sites/flosshub.org/files/07-06-07.pdf},
	author = {Matthew Van Antwerp and Madey, Greg}
}
@proceedings {1379,
	title = {Learning in Open Source Software (OSS) Development: How Developer Interactions in Culturally Diverse Projects Impact the Acquisition of Collaboration and Learning Skills},
	year = {2010},
	abstract = {Participants in an OSS/FLOSS development project often span national and organizational boundaries, as developers from different countries and corporations join the project. A project team{\textquoteright}s national and organizational culture creates opportunities for learning from others, but may also lead to conflict and inhibit learning. This research examines developers{\textquoteright} learning in an OSS project, and the cultural context in which learning takes place. We focus on single- and doubleloop learning and examine the impact of the team{\textquoteright}s national and organizational culture on a developer{\textquoteright}s learning. Archival and survey data are collected from two large-scale Sourceforge projects. This research can contribute to the OSS literature by examining the impact of team interactions on developers{\textquoteright} learning. Practically, administrators and managers stand to gain insight into the learning benefits of participation in OSS projects, and thus better assess their value as a training ground for global software development.},
	keywords = {sourceforge},
	url = {http://aisel.aisnet.org/icis2010_submissions/66/},
	author = {Diamant, I. and Daniel, S.L.}
}
@book {1249,
	title = {Open Source Software Developer and Project Networks},
	series = {IFIP Advances in Information and Communication TechnologyOpen Source Software: New Horizons},
	volume = {319},
	year = {2010},
	note = {no information on data gathering procedures},
	pages = {407 - 412},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {This paper outlines complex network concepts and how social networks are built from Open Source Software (OSS) data. We present an initial study of the social networks of three different OSS forges, BerliOS Developer, GNU Savannah, and SourceForge. Much research has been done on snapshot or conflated views of these networks, especially SourceForge, due to the size of the SourceForge community. The degree distribution, connectedness, centrality, and scale-free nature of SourceForge has been presented for the network at particular points in time. However, very little research has been done on how the network grows, how connections were made, especially during its infancy, and how these metrics evolve over time. },
	keywords = {berlios, savannah, sourceforge},
	isbn = {978-3-642-13244-5},
	issn = {1861-2288},
	doi = {10.1007/978-3-642-13244-5_39},
	author = {Madey, G. and van Antwerp, M.},
	editor = {{\r A}gerfalk, P{\"a}r and Boldyreff, Cornelia and Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Madey, Gregory R. and Noll, John}
}
@conference {1222,
	title = {Responsiveness as a measure for assessing the health of OSS ecosystems},
	booktitle = {Second International Workshop on Building Sustainable Open Source Communities (OSCOMM 2010)},
	year = {2010},
	note = {"Data was collected from the GMANE (gmane.org) archives of the SourceForge {\textquotedblleft}Nagios-devel{\textquotedblright} mailing list for the period from January 2004 to October 2009". response time, responsiveness. "},
	month = {05/2010},
	abstract = {The health of an Open Source ecosystem is an important decision factor when considering the adoption of Open Source software or when monitoring a seeded Open Source project. In this paper we introduce responsiveness as a qualitative measure of the quality of replies within mailing lists, which can be used for assessing ecosystem health. We consider one specific metric of responsiveness in this paper, and that is the response time of follow-up messages in mailing lists. We also describe a way for characterising the nature of communication in messages with short and long response times. The approach is tested in the context of the Nagios project, and we particularly focus on the responsiveness for contributors acting in their professional roles as core developers. Our contribution is a step towards a deeper understanding of voluntary support provided in mailing lists of OSS projects.},
	keywords = {email, email archives, gmane, mailing lists, nagios, response time, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/osscomm002.pdf},
	author = {Gamalielsson, Jonas and Lundell, Bj{\"o}rn and Lings, Brian}
}
@article {Singh:2010:SEI:1824760.1824763,
	title = {The small-world effect: The influence of macro-level properties of developer collaboration networks on open-source project success},
	journal = {ACM Trans. Softw. Eng. Methodol.},
	volume = {20},
	number = {2},
	year = {2010},
	pages = {6:1{\textendash}6:27},
	publisher = {ACM},
	address = {New York, NY, USA},
	abstract = {In this study we investigate the impact of community-level networks{\textemdash}relationships that exist among developers in an OSS community{\textemdash}on the productivity of member developers. Specifically, we argue that OSS community networks characterized by small-world properties would positively influence the productivity of the member developers by providing them with speedy and reliable access to more quantity and variety of information and knowledge resources. Specific hypotheses are developed and tested using longitudinal data on a large panel of 4,279 projects from 15 different OSS communities hosted at Sourceforge. Our results suggest that significant variation exists in small-world properties of OSS communities at Sourceforge. After accounting for project, foundry, and time-specific observed and unobserved effects, we found a statistically significant relationship between small-world properties of a community and the technical and commercial success of the software produced by its members. In contrast to the findings of prior research, we also found the lack of a significant relationship between closeness and betweenness centralities of the project teams and their success. These results were robust to a number of controls and model specifications.},
	keywords = {collaborative software development, online community, open source software development, productivity, small world networks, social networks, sourceforge, team formation},
	issn = {1049-331X},
	doi = {10.1145/1824760.1824763},
	url = {http://doi.acm.org/10.1145/1824760.1824763},
	author = {Param Vir Singh}
}
@conference {Meirelles:2010:SRS:1915078.1916012,
	title = {A Study of the Relationships between Source Code Metrics and Attractiveness in Free Software Projects},
	booktitle = {Proceedings of the 2010 Brazilian Symposium on Software Engineering},
	series = {SBES {\textquoteright}10},
	year = {2010},
	pages = {11{\textendash}20},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Washington, DC, USA},
	abstract = {A significant number of Free Software projects has been widely used and considered successful. However, there is an even larger number of them that cannot overcome the initial steps towards building an active community of users and developers. In this study, we investigated whether there are relationships between source code metrics and attractiveness, i.e., the ability of a project to attract users and developers. To verify these relationships, we analyzed 6,773 Free Software projects from the SourceForge.net repository. The results indicated that attractiveness is indeed correlated to some source code metrics. This suggests that measurable attributes of the project source code somehow affect the decision to contribute to and adopt a Free Software. The findings described in this paper show that it is relevant for project leaders to monitor source code quality, particularly a few objective metrics, since these can have a positive influence in projects chances of forming a community of contributors and users around their software, enabling further enhancement in quality.},
	keywords = {source code, source code analysis, sourceforge, user satisfaction, users},
	isbn = {978-0-7695-4273-7},
	doi = {10.1109/SBES.2010.27},
	url = {http://dx.doi.org/10.1109/SBES.2010.27},
	attachments = {https://flosshub.org/sites/flosshub.org/files/sourcecode_attractiveness.pdf},
	author = {Meirelles, Paulo and Santos Jr., Carlos and Miranda, Joao and Kon, Fabio and Terceiro, Antonio and Chavez, Christina}
}
@conference {1223,
	title = {Success and Abandonment in Open Source Commons: Selected Findings from an Empirical Study of Sourceforge.net Projects},
	booktitle = {Second International Workshop on Building Sustainable Open Source Communities (OSCOMM 2010)},
	year = {2010},
	note = {"we utilize data collected from August through October 2006 on 107,747 OSS projects hosted on the open source hosting site Sourceforge.net (SF henceforth). We combined SF project data gathered by the FLOSSmole project (Howison et al., 2006) with other SF data we {\textquotedblleft}crawled{\textquotedblright} ourselves"},
	month = {05/2010},
	abstract = {Some open source software collaborations are sustained over long periods of time and across several versions of a software product, while others become abandoned even before the first version of the product has been developed. In this study, we identify factors that might be responsible for one or the other of these collaborative trajectories. We examine 107,747 open source software projects hosted on Sourceforge.net in August 2006 using data available through the FLOSSmole Project. We employ Classification and Regression Tree modeling and Random Forests statistical approaches to begin to establish an understanding of how various project attributes, especially physical and community ones, contribute to project success or abandonment. We find that factors associated with success and abandonment differ for projects in the early stage of development (pre-first release) compared to projects that have had a first release, and that product utility, project vision, leadership, and group-size are associated with success in open source collaborations. We also find that successful open source projects exist across all types of software and not simply in areas associated with the open source {\textquotedblleft}movement.{\textquotedblright} Other evidence suggests that Sourceforge.net may play an important role in {\textquotedblleft}intellectual match-making.{\textquotedblright}},
	keywords = {abandonment, flossmole, metadata, project failure, project success, sourceforge, time},
	attachments = {https://flosshub.org/sites/flosshub.org/files/osscomm003.pdf},
	author = {Schweik, C. M. and English, R. and Paienjton, Q. and Haire, S.}
}
@article {1376,
	title = {Sustainability of Open-Source Projects: A Longitudinal Study},
	journal = {Journal of the Association for Information Systems},
	volume = {11},
	number = {5},
	year = {2010},
	abstract = {This paper examines the factors that influence the long-term sustainability of FLOSS projects. A model of project sustainability based on organizational ecology is developed and tested empirically. Data about activity and contribution patterns over the course of five years for 2,772 projects registered with SourceForge is analyzed. Our results suggest that the size of the project{\textquoteright}s development base, project age and the size of niche occupied by the project are positively related to the project{\textquoteright}s ability to attract user and/or developer resources. The ability to attract resources is an indicator of the perceived project legitimacy, which in turn is a strong predictor of the project{\textquoteright}s future sustainability. Thus a project{\textquoteright}s ability to attract developer and user resources is shown to play a mediating role between the demographic (size and age) and ecological (niche) characteristics of the project and its future sustainability. Our results support the applicability of tenets of organizational ecology related to the liability of smallness, the liability of newness, and population characteristics (niche size) to the FLOSS development environment. The implications of the results for future research and practice are discussed.},
	keywords = {contribution, developers, sourceforge, sustainability},
	url = {http://aisel.aisnet.org/jais/vol11/iss11/5/},
	author = {Chengular-Smith, I. and Sidorova, Anna and Daniel, Sherae L.}
}
@conference {1217,
	title = {Trends That Affect Temporal Analysis Using SourceForge Data},
	booktitle = {5th Workshop on Public Data about Software Development (WoPDaSD 2010)},
	year = {2010},
	note = {"In this paper we examine some of the limitations of artifact data by specifically addressing the applicability of SourceForge data to the study of project evolution."

"For our analysis we examine 9,997 Production/Stable or Maintenance phase projects stored in CVS on SourceForge and extracted in October of 2006 [5]"},
	abstract = {SourceForge is a valuable source of software artifact data for researchers who study project evolution and developer behavior. However, the data exhibit patterns that may bias temporal analyses. Most notable are cliff walls in project source code repository timelines, which indicate large commits that are out of character for the given project. These cliff walls often hide significant periods of development and developer collaboration{\textemdash}a threat to studies that rely on SourceForge repository data. We demonstrate how to identify these cliff walls, discuss reasons for their appearance, and propose preliminary measures for mitigating their effects in evolution-oriented studies.},
	keywords = {cliff walls, committers, cvs, evolution, growth, source code, sourceforge, time, time series},
	attachments = {https://flosshub.org/sites/flosshub.org/files/wopdasd001.pdf},
	author = {MacLean, Alexander C. and Pratt, Landon J. and Krein, Jonathan L. and Knutson, Charles D.}
}
@book {1250,
	title = {Warehousing and Studying Open Source Versioning Metadata},
	series = {IFIP Advances in Information and Communication Technology Open Source Software: New Horizons (OSS 2010)},
	volume = {319},
	year = {2010},
	pages = {413 - 418},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {In this paper, we describe the downloading and warehousing of Open Source Software (OSS) versioning metadata from SourceForge, BerliOS Developer, and GNU Savannah. This data enables and supports research in areas such as software engineering, open source phenomena, social network analysis, data mining, and project management. This newly-formed database containing Concurrent Versions System (CVS) and Subversion (SVN) metadata offers new research opportunities for large-scale OSS development analysis. The CVS and SVN data is juxtaposed with the SourceForge.net Research Data Archive [5] for the purpose of performing more powerful and interesting queries. We also present an initial statistical analysis of some of the most active projects. },
	keywords = {berlios, cvs, savannah, scm, sourceforge, srda, subversion, svn},
	isbn = {978-3-642-13244-5},
	issn = {1861-2288},
	doi = {10.1007/978-3-642-13244-5_40},
	author = {van Antwerp, M. and Madey, G.},
	editor = {{\r A}gerfalk, P{\"a}r and Boldyreff, Cornelia and Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Madey, Gregory R. and Noll, John}
}
@conference {839,
	title = {Amassing and indexing a large sample of version control systems: towards the census of public source code history},
	booktitle = {6th IEEE Working Conference on Mining Software Repositories},
	year = {2009},
	note = {Related work: "For example, FLOSSMole [8]
collects the list of projects and their metadata from SourceForge,
FreshMeat, Free Software Foundation (FSF), RubyForge,
and ObjectWeb. "

"The list of
home pages from open source directories such as FSF or
FLOSSMole could provide a focused set of web pages for
the search"

"To get the list of projects for SourceForge we used
FLOSSMole project [8] that collects the list of SourceForge
projects and their metadata. We use project ID, because it
was used to specify the VCS URL within the SourceForge
repository."},
	month = {May 16{\textendash}17},
	abstract = {The source code and its history represent the output and process of software development activities and are an in- valuable resource for study and improvement of software development practice. While individual projects and groups of projects have been extensively analyzed, some fundamental questions, such as the spread of innovation or genealogy of the source code, can be answered only by considering the entire universe of publicly available source code and its history. We describe methods we developed over the last six years to gather, index, and update an approximation of such a universal repository for publicly accessible version control systems and for the source code inside a large corporation. While challenging, the task is achievable with limited resources. The bottlenecks in network bandwidth, processing, and disk access can be dealt with using inherent parallelism of the tasks and suitable tradeoffs between the amount of storage and computations, but a completely automated discovery of public version control systems may require enticing participation of the sampled projects. Such universal repository would allow studies of global properties and origins of the source code that are not possible through other means.},
	keywords = {bazaar, cvs, flossmole, git, mercurial, source code, sourceforge, subversion, version control},
	attachments = {https://flosshub.org/sites/flosshub.org/files/11amassing.pdf},
	author = {Audris Mockus}
}
@article {1414,
	title = {Competition and production of digital public goods},
	journal = {International Journal of Intelligent Control and Systems},
	volume = {14},
	number = {1},
	year = {2009},
	pages = {77-86},
	chapter = {77},
	abstract = {With the Internet has come the phenomenon of people volunteering to work on digital public goods such as open source software and online encyclopedia articles. Presumably, the success of individual public goods has an effect on attracting volunteers. However, the definition of success is ill-defined. This paper explores the impact of different success metrics on a simple public goods model. The findings show that the different success metrics considered do have an impact on the behavior of the model, with the largest differences being between consumer-oriented and producer-oriented metrics. This indicates that many proposed success metrics may be mapped into one of these two categories and within a category, all success metrics measure the same phenomenon. We argue that the characteristics of producer-oriented metrics more closely match real world phenomena, indicating that public goods are driven by producer, and not consumer, interests.},
	keywords = {digital public goods, FLOSS, open source software, sourceforge, success metrics, wikipedia},
	url = {http://www.public.asu.edu/~majansse/pubs/ijics2009.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/ijics2009.pdf},
	author = {Radtke, Nicholas P. and Janssen, Marco A.}
}
@article {10.1109/HICSS.2009.687,
	title = {Easier Said than Done: An Empirical Investigation of Software Design and Quality in Open Source Software Development},
	journal = {2009 42nd Hawaii International Conference on System Sciences (HICSS 2009)},
	year = {2009},
	note = {"projects that do not exhibit obvious corporate or organizational sponsorship or involvement, projects with at least one software release in a relatively mature development stage (Beta or Production/Stable), projects exhibiting a minimum level of project activity, and products written only using Java."
"The frame includes approximately 180 projects from which a random sample of 46 was drawn"
"For each project, we sample each major software release (e.g. 1.x, 2.x) as our unit of analysis for a total of 203 releases."
"We calculate the degree of modularity for each major software release sampled using the source code contained in each release"
"To measure intrinsic software quality, we calculate the number of static bugs and software complexity based on objective evaluations of the source code included in the software release using two static source code analysis tools"
"To assess customer satisfaction, we use three measures of software quality previously identified in OSS research as a proxy for software quality and OSS project success [3]: number of bugs reported, percentage of bugs closed, and time to close bugs."},
	pages = {1-10},
	publisher = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	abstract = {We empirically examine the relationship between software design modularity and software quality in open source software (OSS) development projects. Conventional wisdom suggests that degree of software modularity affects software quality. An analysis of 203 software releases in 46 OSS projects hosted on SourceForge.net lends support for a more complex relationship between software modularity and software quality than conventional wisdom suggests. We find that software modularity is associated with reduced software complexity, an increased number of static software bugs, and a mixed relationship with the percentage of bugs closed. We do not find empirical evidence supporting any relationship between modularity and other measures of customer satisfaction. In addition to empirically testing the relationship between modularity and quality, we introduce new measures of software modularity and software quality. Implications are developed for the theory of modularity and the practice of software development.},
	keywords = {modularity, quality, source code, sourceforge},
	isbn = {978-0-7695-3450-3},
	doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2009.687},
	attachments = {https://flosshub.org/sites/flosshub.org/files/09-14-05.pdf},
	author = {Conley, Caryn A. and Lee Sproull}
}
@article {10.1109/HICSS.2009.713,
	title = {Evaluating Longitudinal Success of Open Source Software Projects: A Social Network Perspective},
	journal = {2009 42nd Hawaii International Conference on System Sciences (HICSS 2009)},
	year = {2009},
	note = {"We collect data of various OSS projects over an extended period of 13 months and utilize cross-sectional time-series panel data analysis methods..."
"we observe and analyze the developers{\textquoteright} interactions through bug, patch, support request, and feature request (BPSF) tracking systems hosted on SourceForge.net"
"Three criteria are adopted to select useful projects: projects are selected from top 7000 ranked projects; projects have at least three developers; and there are enough interactions to ensure that each sociomatrix is equal to or larger than 3{\texttimes}3 matrix..."},
	pages = {1-10},
	publisher = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	abstract = {To date, numerous open source projects are hosted on many online repositories. While some of these projects are active and thriving, some projects are either languishing or showing no development activities at all. This phenomenon thus begs the important question of what are the influential factors that affect the success of open source projects. In a quest to deepen our understanding of the evolution of open source projects, this research aims to analyze the success of open source projects by using the theoretical lens of social network analysis. Based on extensive analyses of data collected from online repositories, we study the impact of the communication patterns of software development teams on the demand and supply outcomes of these projects, while accounting for project-specific characteristics. Using panel data analysis of data over 13 months, we find significant impacts of communication patterns on project outcomes over the long term.},
	keywords = {bug tracking system, communication, project success, social network analysis, sourceforge},
	isbn = {978-0-7695-3450-3},
	doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2009.713},
	attachments = {https://flosshub.org/sites/flosshub.org/files/09-02-12.pdf},
	author = {Jing Wu and Khim Yong Goh}
}
@conference {1262,
	title = {An Exploratory Study on the Two New Trends in Open Source Software: End-Users and Service},
	booktitle = {2009 42nd Hawaii International Conference on System Sciences (HICSS 2009)},
	year = {2009},
	note = {used sourceforge data
"We created our dataset by restricting our attention to projects that have production/stable and mature development status"
"we limited our sample to two categories: developers and end-users/desktop"
"We manually compiled a total of 200 projects, 100 each of the most downloaded projects from developers and end-users/desktop categories during the period of March 4 to March 23, 2008. "},
	pages = {1 - 10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Waikoloa, Hawaii, USA},
	abstract = {Many have been envisaging the emergence of Open Source Software (OSS) for general end-users and the enhancements in providing services and support, as the most critical factors for OSS success, and at the same time, the most critical issues which are holding back the OSS movement. While these two distinct waves in OSS evolution have become more observable, researchers have not yet explored the characteristics of these two distinct new waves. The current study found evidence for these two waves and further explored the two waves by empirically examining two hundred projects hosted in Sourceforge.net. We compared the characteristics of OSS projects that are intended for two disparate audiences: developers and end-users and found that projects for end-users supported more languages but also had more restrictive licenses as compared to projects for developers.},
	keywords = {developers, intended audiences, sourceforge},
	isbn = {978-0-7695-3450-3},
	doi = {10.1109/HICSS.2009.63},
	attachments = {https://flosshub.org/sites/flosshub.org/files/07-07-05.pdf},
	author = {Namjoo Choi and Chengular-Smith, I.}
}
@article {Beecher2009739,
	title = {Identifying exogenous drivers and evolutionary stages in FLOSS projects},
	journal = {Journal of Systems and Software},
	volume = {82},
	number = {5},
	year = {2009},
	pages = {739 - 750},
	abstract = {The success of a Free/Libre/Open Source Software (FLOSS) project has been evaluated in the past through the number of commits made to its configuration management system, number of developers and number of users. Most studies, based on a popular FLOSS repository (SourceForge), have concluded that the vast majority of projects are failures. This study{\textquoteright}s empirical results confirm and expand conclusions from an earlier and more limited work. Not only do projects from different repositories display different process and product characteristics, but a more general pattern can be observed. Projects may be considered as early inceptors in highly visible repositories, or as established projects within desktop-wide projects, or finally as structured parts of FLOSS distributions. These three possibilities are formalized into a framework of transitions between repositories. The framework developed here provides a wider context in which results from FLOSS repository mining can be more effectively presented. Researchers can draw different conclusions based on the overall characteristics studied about an Open Source software project{\textquoteright}s potential for success, depending on the repository that they mine. These results also provide guidance to OSS developers when choosing where to host their project and how to distribute it to maximize its evolutionary success.},
	keywords = {developers, forge, forges, repositories, repository, scm, software repositories, sourceforge, success, users},
	issn = {0164-1212},
	doi = {DOI: 10.1016/j.jss.2008.10.026},
	url = {http://www.sciencedirect.com/science/article/B6V0N-4TVTJFS-1/2/e32ecee1bcb54bd4a5dff6d5e3daca8d},
	author = {Karl Beecher and Capiluppi, Andrea and Boldyreff, Cornelia}
}
@conference {1204,
	title = {Language entropy: A metric for characterization of author programming language distribution},
	booktitle = {4th Workshop on Public Data about Software Development (WoPDaSD 2009)},
	year = {2009},
	note = {The data set used in this study was previously collected for a separate, but related work. It was originally extracted from the SourceForge Research Archive (SFRA), August 2006. For a detailed discussion of the data source, collection tools and processes, and summary statistics, see [6]."

"From the initial data set we extracted a random sample of 500 developers3 along with descriptive details of all revisions that those developers made since the inception of the projects on which they worked. We then condensed this sample by totaling the lines of code added by each developer for each month in which that developer made at least one code submission."
[6] Daniel P. Delorey, Charles D. Knutson, and Alex MacLean. Studying production phase sourceforge projects: A case study using cvs2mysql and sfra+. In Second International Workshop on Public Data about Software Development (WoPDaSD {\textquoteright}07), June 2007.},
	month = {2009},
	abstract = {Programmers are often required to develop in multiple languages. In an effort to study the effects of programming language fragmentation on productivity{\textemdash}and ultimately on a programmer{\textquoteright}s problem solving abilities{\textemdash}we propose a metric, language entropy, for characterizing the distribution of an individual{\textquoteright}s development efforts across multiple programming languages. To evaluate this metric, we present an observational study examining all project contributions (through August 2006) of a random sample of 500 SourceForge developers. Using a random coefficients model, we found a statistically significant correlation (alpha level of 0.05) between language entropy and the size of monthly pro ject contributions (measured in lines of code added). Our results indicate that language entropy is a good candidate for characterizing author programing language distribution.},
	keywords = {contributions, developers, language entropy, lines of code, loc, multiple languages, programming languages, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/LanguageEntropy-JonathanKrein.pdf},
	author = {Krein, Jonathan L. and MacLean, Alexander C. and Delorey, Daniel P. and Knutson, Charles D. and Eggett, Dennis L.}
}
@conference {928,
	title = {Mining source code to automatically split identifiers for software analysis},
	booktitle = {2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories},
	year = {2009},
	pages = {71 - 80},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {Automated software engineering tools (e.g., program search, concern location, code reuse, quality assessment, etc.) increasingly rely on natural language information from comments and identifiers in code. The first step in analyzing words from identifiers requires splitting identifiers into their constituent words. Unlike natural languages, where space and punctuation are used to delineate words, identifiers cannot contain spaces. One common way to split identifiers is to follow programming language naming conventions. For example, Java programmers often use camel case, where words are delineated by uppercase letters or non-alphabetic characters. However, programmers also create identifiers by concatenating sequences of words together with no discernible delineation, which poses challenges to automatic identifier splitting. In this paper, we present an algorithm to automatically split identifiers into sequences of words by mining word frequencies in source code. With these word frequencies, our identifier splitter uses a scoring technique to automatically select the most appropriate partitioning for an identifier. In an evaluation of over 8000 identifiers from open source Java programs, our Samurai approach outperforms the existing state of the art techniques.},
	keywords = {java, samurai, sourceforge},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069482},
	attachments = {https://flosshub.org/sites/flosshub.org/files/71EnslenandHillandPollockandVijayShanker.pdf},
	author = {Enslen, Eric and Hill, Emily and Pollock, Lori and Vijay-Shanker, K.}
}
@article {1118,
	title = {Monetary donations to an open source software platform},
	journal = {Research Policy},
	volume = {38},
	year = {2009},
	month = {03/2009},
	pages = {404 - 414},
	abstract = {Online open source software platforms, such as Sourceforge.net, play a vital role in creating an ecosystem that enables the creation and growth of open source projects. However, there is little research exploring the interactions between open source stakeholders and the platform. We believe that the sustainability of the platform crucially depends on financial incentives. While platforms can obtain these incentives through multiple means, in this paper we focus on one form of financial incentives{\textemdash}voluntary monetary donations by open source community members. We report findings from two empirical studies that examine factors that impact donations. Study 1 investigates the factors that cause some community members to donate and not others. We find that the decision to donate is impacted by relational commitment with open source software platform, donation to projects and accepting donations from others. Study 2 examines what drives the level of donation. We find that the length of association with the platform and relational commitment affects donation levels.},
	keywords = {Collective action, Donation, Identification, incentives, metadata, MOTIVATION, Open source software platform, projects, Reciprocity, Relational commitment, sourceforge},
	issn = {00487333},
	doi = {10.1016/j.respol.2008.11.004},
	author = {Sandeep Krishnamurthy and Tripathi, Arvind K.}
}
@article {Capiluppi200989,
	title = {Quality Factors and Coding Standards - a Comparison Between Open Source Forges},
	journal = {Electronic Notes in Theoretical Computer Science},
	volume = {233},
	year = {2009},
	note = {Proceedings of the International Workshop on Software Quality and Maintainability (SQM 2008)},
	pages = {89 - 103},
	abstract = {Enforcing adherence to standards in software development in order to produce high quality software artefacts has long been recognised as best practice in traditional software engineering. In a distributed heterogeneous development environment such those found within the Open Source paradigm, coding standards are informally shared and adhered to by communities of loosely coupled developers. Following these standards could potentially lead to higher quality software. This paper reports on the empirical analysis of two major forges where OSS projects are hosted. The first one, the KDE forge, provides a set of guidelines and coding standards in the form of a coding style that developers may conform to when producing the code source artefacts. The second studied forge, SourceForge, imposes no formal coding standards on developers. A sample of projects from these two forges has been analysed to detect whether the SourceForge sample, where no coding standards are reinforced, has a lower quality than the sample from KDE. Results from this analysis form a complex picture; visually, all the selected metrics show a clear divide between the two forges, but from the statistical standpoint, clear distinctions cannot be drawn amongst these quality related measures in the two forge samples.},
	keywords = {artefacts, artifacts, coding standards, coding style, complexity, forge, forges, kde, metrics, quality, source code, sourceforge},
	issn = {1571-0661},
	doi = {DOI: 10.1016/j.entcs.2009.02.063},
	url = {http://www.sciencedirect.com/science/article/B75H1-4VXDKRV-7/2/abcc2be2c4c3998e4bc9b53473ca2d81},
	author = {Capiluppi, Andrea and Boldyreff, Cornelia and Karl Beecher and Paul J. Adams}
}
@article {1082,
	title = {Returns from social capital in open source software networks},
	journal = {Journal of Evolutionary Economics},
	volume = {19},
	year = {2009},
	note = {"The data we use in this analysis come from the SourceForge.net Research Data (Department of Computer Science and Engineering, University of Notre Dame)." "Particularly, our dataset is a sub-sample of 2,962 valid observations over twelve months of projects aimed at developing games{\textquoteright} software. To get this sample, we look at the monthly dumps of data and select all projects that belong to the category of GNU Public License (GPL) [6]. "
dependent variable: performance (number of downloads); independent variable: social network ("Here we measure ties among projects through the individuals{\textquoteright} member and contributor roles at projects on the network over time.)},
	month = {4/2009},
	pages = {277 - 295},
	abstract = {Open Source Software projects base their operation on a collaborative structure for knowledge exchange in the form of provision or reception of information, expertise, and feedback on the creation of source code. Here, we address the direction of these knowledge flows among projects throughout social networks and their impact on project success. We identify the roles of membership or contribution that individuals play within projects. We found that connections through contributors who bring their knowledge to the project, improve project success, and that connection through members, who transfer their knowledge towards other projects, enhance project success. Finally, we found that ties through shared membership and contributions hamper project success. The analysis of knowledge flows and their impact on project success imply a translation of returns from investment in social capital, where investment takes the shape of knowledge flows and the returns mean the projects{\textquoteright} diffusion over the network.},
	keywords = {contributors, developers, games, gpl, project success, roles, social capital, social network analysis, social networks, sourceforge, srda, teams},
	issn = {1432-1386},
	doi = {10.1007/s00191-008-0125-5},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Mendez-DuronGarcia.pdf},
	author = {M{\'e}ndez-Dur{\'o}n, Rebeca and Garc{\'\i}a, Clara E.}
}
@conference {1066,
	title = {SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects},
	booktitle = {2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)},
	year = {2009},
	pages = {183 - 186},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {The open source movement has made vast quantities of source code available online for free, providing an extremely large dataset for empirical study and potential re-use. A major difficulty in exploiting this potential fully is that the data are currently scattered between competing source code repositories, none of which are structured for empirical analysis and cross-project comparison. As a result, software researchers and developers are left to compile their own datasets, resulting in duplicated effort and limited results. To address this challenge, we built SourcererDB, an aggregated repository of statically analyzed and cross-linked open source Java projects. SourcererDB contains local snapshots of 2,852 Java projects taken from Sourceforge, Apache and Java.net. These projects are statically analyzed to extract rich structural information, which is then stored in a relational database. References to entities in the 16,058 external jars are resolved and grouped, allowing for cross-project usage information to be accessed easily. This paper describes: (a) the mechanism for resolving and grouping these cross-project references, (b) the structure of and the metamodel for the SourcererDB repository, and (d) end-user dataset access mechanisms. Our goal in building SourcererDB is to provide a rich dataset of source code to facilitate the sharing of extracted data and to encourage reuse and repeatability of experiments.},
	keywords = {apache, java, java.net, source code, sourceforge, sourcerer},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069501},
	author = {Ossher, Joel and Bajracharya, Sushil and Linstead, Erik and Baldi, Pierre and Lopes, Cristina}
}
@conference {945,
	title = {SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects},
	booktitle = {2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories},
	year = {2009},
	pages = {183 - 186},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {The open source movement has made vast quantities of source code available online for free, providing an extremely large dataset for empirical study and potential resuse. A major difficulty in exploiting this potential fully is that the data are currently scattered between competing source code repositories, none of which are structured for empirical analysis and cross-project comparison. As a result, software researchers and developers are left to compile their own datasets, resulting in duplicated effort and limited results. To address this challenge, we built SourcererDB, an aggregated repository of statically analyzed and cross-linked open source Java projects. SourcererDB contains local snapshots of 2,852 Java projects taken from Sourceforge, Apache and Java.net. These projects are statically analyzed to extract rich structural information, which is then stored in a relational database. References to entities in the 16,058 external jars are resolved and grouped, allowing for cross-project usage information to be accessed easily. This paper describes: (a) the mechanism for resolving and grouping these cross-project references, (b) the structure of and the metamodel for the SourcererDB repository, and (d) end-user dataset access mechanisms. Our goal in building SourcererDB is to provide a rich dataset of source code to facilitate the sharing of extracted data and to encourage reuse and repeatability of experiments.},
	keywords = {apache, integration, java, java.net, project, repository, sourceforge, SourcererDB},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069501},
	author = {Ossher, Joel and Bajracharya, Sushil and Linstead, Erik and Baldi, Pierre and Lopes, Cristina}
}
@article {Au20099,
	title = {Virtual organizational learning in open source software development projects},
	journal = {Information \& Management},
	volume = {46},
	number = {1},
	year = {2009},
	pages = {9 - 15},
	abstract = {We studied virtual organizational learning in open source software (OSS) development projects. Specifically, our research focused on learning effects of OSS projects and the factors that affect the learning process. The number and percentage of resolved bugs and bug resolution time of 118 SourceForge.net OSS projects were used to measure the learning effects. Projects were characterized by project type, number and experience of developers, number of bugs, and bug resolution time. Our results provided evidence of virtual organizational learning in OSS development projects and support for several factors as determinants of performance. Team size was a significant predictor, with mid-sized project teams functioning best. Teams of three to seven developers exhibited the highest efficiency over time and teams of eight to 15 produced the lowest mean time for bug resolution. Increasing the percentage of bugs assigned to specific developers or boosting developer participation in other OSS projects also improved performance. Furthermore, project type introduced variability in project team performance.},
	keywords = {bug fixing, bugs, learning, Project performance, sourceforge, team size, teams, virtual organization},
	issn = {0378-7206},
	doi = {DOI: 10.1016/j.im.2008.09.004},
	url = {http://www.sciencedirect.com/science/article/B6VD0-4V1D7NT-1/2/a3bbf7652c674f753398160b8f05f6e9},
	author = {Yoris A. Au and Darrell Carpenter and Xiaogang Chen and Jan G. Clark}
}
@article {Xu2009151,
	title = {Volunteers{\textquoteright} involvement in online community based software development},
	journal = {Information \& Management},
	volume = {46},
	number = {3},
	year = {2009},
	note = {"Data were collected through an online survey and by searching project archives. On Sourceforge.net, each developer was uniquely identified with a user account, and the developer{\textquoteright}s performance was assessed through the number of function points accepted by the project in a certain time period, obtained through conversion and calculation from the project{\textquoteright}s code repository. Data for other constructs were obtained from the developers{\textquoteright} response to the online survey. "
"a developer{\textquoteright}s performance was measured by the number of function points made and accepted into the project during the observed time period."

project age, development status, license type, number of developers},
	pages = {151 - 158},
	abstract = {We sought to gain understanding of voluntary developers{\textquoteright} involvement in open source software (OSS) projects. Data were collected from voluntary developers working on open source projects. Our findings indicated that a voluntary developer{\textquoteright}s involvement was very important to his or her performance and that involvement was dependent on individual motivations (personal software needs, reputation and skills gaining expectation, enjoyment in open source coding) and project community factors (leadership effectiveness, interpersonal relationship, community ideology). Our work contributes theoretically and empirically to the body of OSS research and has practical implications for OSS project management.},
	keywords = {age, developers, effectiveness, function points, ideology, leadership, MOTIVATION, scm, sourceforge, status, Survey, team size, Volunteers},
	issn = {0378-7206},
	doi = {DOI: 10.1016/j.im.2008.12.005},
	url = {http://www.sciencedirect.com/science/article/B6VD0-4VP1CN0-1/2/8e1c7be4fcedd1419209c5c843ffa923},
	author = {Bo Xu and Donald R. Jones and Bingjia Shao}
}
@conference {1208,
	title = {Advances in the Sourceforge Research Data Archive},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	month = {2009},
	pages = {25-29},
	abstract = {The SourceForge Research Data Archive (SRDA), located at http://zerlot.cse.nd.edu, is a collection of Open Source Software (OSS) data and resources [6]. Over 100 researchers worldwide use the archive for research in many fields. In this paper, we describe the recent changes, the work in progress, and future plans for making the archive easier to use and for allowing more advanced research to be done with the data available.},
	keywords = {forge, forges, repositories, repository, sourceforge, srda},
	attachments = {https://flosshub.org/sites/flosshub.org/files/srda2008.pdf},
	author = {Matthew Van Antwerp and Madey, Greg}
}
@conference {1210,
	title = {Author Entropy: A Metric for Characterization  of Software Authorship Patterns},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	note = {used flossmole to get sample of SF developers},
	month = {2008},
	pages = {42-47},
	abstract = {We propose the concept of author entropy and describe how file-level entropy measures may be used to understand and characterize authorship patterns within individual files, as well as across an entire project. As a proof of concept, we compute author entropy for 28,955 files from 33 open-source projects. We explore patterns of author entropy, identify techniques for visualizing author entropy, and propose avenues for further study. },
	keywords = {developers, entropy, flossmole, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/entropy2008.pdf},
	author = {Taylor, Quinn C. and Stevenson, James E. and Delorey, Daniel P. and Knutson, Charles D.}
}
@conference {970,
	title = {Determinism and evolution},
	booktitle = {Proceedings of the 2008 international workshop on Mining software repositories  - MSR {\textquoteright}08},
	year = {2008},
	month = {05/2008},
	pages = {1-9},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York, New York, USA},
	abstract = {It has been proposed that software evolution follows a Self-Organized Criticality (SOC) dynamics. This fact is supported by the presence of long range correlations in the time series of the number of changes made to the source code over time. Those long range correlations imply that the current state of the project was determined time ago. In other words, the evolution of the software project is governed by a sort of determinism. But this idea seems to contradict intuition. To explore this apparent contradiction, we have performed an empirical study on a sample of 3,821 libre (free, open source) software projects, finding that their evolution projects is short range correlated. This suggests that the dynamics of software evolution may not be SOC, and therefore that the past of a project does not determine its future except for relatively short periods of time, at least for libre software.},
	keywords = {changes, evolution, source code, sourceforge},
	isbn = {9781605580241},
	doi = {10.1145/1370750.1370752},
	attachments = {https://flosshub.org/sites/flosshub.org/files/p1-herraiz.pdf},
	author = {Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Gregorio Robles and Herraiz, Israel}
}
@article {1084,
	title = {Dynamics of innovation in an "open source" collaboration environment: lurking, laboring, and launching FLOSS projects on SourceForge},
	journal = {Industrial and Corporate Change},
	volume = {17},
	year = {2008},
	note = {"For the purposes of this study, we are able to draw upon micro-level data pertaining to the activities undertaken during the period between the beginning of September 2000 and December 2002 by the entire cohort of 222,835 individuals who had registered on SF.net during the 14 months from September 1, 2000 through October 26, 2001."
"The statistical analysis in this article is based upon an edited dataset (referred to here as the SFnetDataset) covering the SourceForge cohort of 222,835 individuals who registered on SF.net during the 14 months from September 1, 2000 through October 26, 2001."
They appear to be using their own dataset which is from 2000-2001 even though this paper is from 2008},
	month = {07/2008},
	pages = {647 - 710},
	abstract = {A systems analysis perspective is adopted to examine the critical properties of the Free/Libre/Open Source Software (FLOSS) mode of innovation, as reflected on the SourceForge platform (SF.net). This approach re-scales March{\textquoteright}s (1991) framework and applies it to characterize the {\textquotedblleft}innovation system{\textquotedblright} of a {\textquotedblleft}distributed organization{\textquotedblright} of interacting agents in a virtual collaboration environment, rather than to innovation within a firm. March (1991) views the process of innovation at the organizational level as the coupling of sub-processes of exploration and exploitation. Correspondingly, the innovation system of the virtual collaboration environment represented by SF.net is an emergent property of two {\textquotedblleft}coupled{\textquotedblright} processes: one involves the interactions among agents searching the locale for information and knowledge resources to use in designing novel software products (i.e., exploration), and the other involves the mobilization of individuals{\textquoteright} capabilities for application in the software development projects that become established on the platform (i.e., exploitation). The micro-dynamics of this system are studied empirically by constructing transition probability matrices representing the movements of 222,835 SF.net users among seven different activity states, which range from {\textquotedblleft}lurking{\textquotedblright} (not contributing or contributing to projects without becoming a member) to {\textquotedblleft}laboring{\textquotedblright} (joining one or more projects as members), and to {\textquotedblleft}launching{\textquotedblright} (founding one or more projects) within each successive 6-month interval. The estimated probabilities are found to form first-order Markov chains describing ergodic processes. This makes it possible the computation of the equilibrium distribution of agents among the states, thereby suppressing transient effects and revealing persisting patterns of project joining and project launching. The latter show the FLOSS innovation process on SF.net to be highly dissipative: a very large proportion of the registered {\textquotedblleft}developers{\textquotedblright} fail to become even minimally active on the platform. There is nevertheless an active core of mobile project joiners, and a (still smaller) core of project founders who persist in creating new projects. The structure of these groups{\textquoteright} interactions (as displayed within the 3-year period examined) is investigated in detail, and it is shown that it would be sufficient to sustain both the exploration and exploitation phases of the platform{\textquoteright}s global dynamics.},
	keywords = {contributors, core, developers, roles, SFnetDataset, sourceforge, users, virtual communities, virtual organization, virtual organizations},
	issn = {1464-3650},
	doi = {10.1093/icc/dtn026},
	author = {David, P. A. and Rullani, F.}
}
@article {Koch2008345,
	title = {Effort modeling and programmer participation in open source software projects},
	journal = {Information Economics and Policy (Empirical Issues in Open Source Software)},
	volume = {20},
	number = {4},
	year = {2008},
	note = {"Using a two-step approach, first a detailed case study on one project, GNOME, will be undertaken, then a large data set retrieved from a project hosting site, SourceForge.net, will be used to validate the results."

CVS was the main source of data

"e-mails sent to the different project discussion lists were identified as an additional source of information especially on communication and coordination besides the CVS-repository"

basic counts were calculated for developer discussion levels},
	month = {12/2008},
	pages = {345 - 355},
	abstract = {This paper develops models for programmer participation and effort estimation in open source software projects and employs the results to assess the efficiency of open source software creation. Successful development of such models will be important for decision makers of various kinds. We propose hypotheses based on a prior case study on manpower function and effort modeling. A large data set retrieved from a project repository is used to test these hypotheses. The main results are that if Norden-Rayleigh-based approaches are used, they need to be complemented in order to account for the addition of new features during a product life cycle, and that programmer-participation based effort models result in distinctly lower estimations of effort than those based on output metrics, such as lines of code.},
	keywords = {cvs, developers, email, email archives, gnome, lines of code, scm, Software repository mining, source code, sourceforge},
	issn = {0167-6245},
	doi = {DOI: 10.1016/j.infoecopol.2008.06.004},
	url = {http://www.sciencedirect.com/science/article/B6V8J-4SSND1J-1/2/c857fa1493e19aa7fe4297dedb077b3a},
	attachments = {https://flosshub.org/sites/flosshub.org/files/KochEffortModeling.pdf},
	author = {Koch, Stefan}
}
@article {1091,
	title = {Evaluating the performance of open source software projects using data envelopment analysis},
	journal = {Information Management \& Computer Security},
	volume = {16},
	year = {2008},
	note = {"The data set used for this research consists of 34 OSS software projects listed on sourceforge.net." "only highly ranked projects in the security domain were considered."
"Ultimately data were collected on the 34 highest ranked security-based OSS software projects on Sourcefore.net."[sic]
fields: bug (?), developers, rank, downloads, Kperdownload (?)},
	month = {2008},
	pages = {449 - 462},
	abstract = {	

Purpose {\textendash} The purpose of this paper is to develop and test a model of the relative performance of open source software (OSS) projects.

Design/methodology/approach {\textendash} This paper evaluates the relative performance of OSS projects by evaluating multiple project inputs and multiple project outputs by using a data envelopment analysis (DEA) model. The DEA model produces an efficiency score for each project based on project inputs and outputs. The method of producing an efficiency score is based on the convex envelopment technology structure. The efficiency measure quantifies a {\textquotedblleft}distance{\textquotedblright} to an efficient frontier.

Findings {\textendash} The DEA model produced an index of corresponding intensities linking an inefficient project to its benchmark efficient project(s). The inefficiency measures produced an ordering of inefficient projects. Eight projects were found to be {\textquotedblleft}efficient{\textquotedblright} and used as benchmarking projects.

Research limitations/implications {\textendash} This research is limited to only security-based OSS projects. Future research on other areas of OSS projects is warranted.

Practical implications {\textendash} The result of this research is a practical model that can be used by OSS project developers to evaluate the relative performance of their projects and make resource decisions.

Originality/value {\textendash} This research extends the work of previous studies that have examined the relative performance of software development projects in a traditional development environment. As a result of this research, OSS projects can now be adequately benchmarked and evaluated according to project performance. An OSS project manger can effectively use these results to critically evaluate resources for their project and judge the relative efficiency of the resources.},
	keywords = {dea, efficiency, Project performance, sourceforge},
	issn = {0968-5227},
	doi = {10.1108/09685220810920530},
	author = {Wray, Barry and Mathieu, Richard and Teets, J.}
}
@article {Giuri2008305,
	title = {Explaining leadership in virtual teams: The case of open source software},
	journal = {Information Economics and Policy},
	volume = {20},
	number = {4},
	year = {2008},
	note = {Empirical Issues in Open Source Software},
	pages = {305 - 315},
	abstract = {This paper contributes to the open source software (OSS) literature by investigating the likelihood that a participant becomes a project leader. Project leaders are key actors in a virtual community and are crucial to the success of the OSS model. Knowledge of the forces that lead to the emergence of project managers among the multitude of participants is still limited. We aim to fill this gap in the literature by analyzing the association between the roles played by an individual who is registered with a project, and a set of individual-level and project-level characteristics. In line with the theory of occupational choice elaborated by (Lazear, E.P., 2002. Entrepreneurship. NBER Working Paper No. 9109, Cambridge, Mass; Lazear, E.P., 2004. Balanced skills and entrepreneurship, American Economic Review 94, pp. 208-211), we find that OSS project leaders possess diversified skill sets which are needed to select the inputs provided by various participants, motivate contributors, and coordinate their efforts. Specialists, like pure developers, are endowed with more focused skill sets. Moreover, we find that the degree of modularity of the development process is positively associated with the presence of project leaders. That result is consistent with the modern theory of modular production (Baldwin, C.Y., Clark, K.B., 1997. Managing in an age of modularity. Harvard Business Review September-October. pp. 84-93; Mateos-Garcia, J., Steinmueller, W.E., 2003. The Open Source Way of Working: A New Paradigm for the Division of Labour in Software Development? SPRU - Science and Technology Policy Studies. Open Source Movement Research INK Working Paper, No. 1; Aoki, M., 2004. An organizational architecture of T-form: Silicon Valley clustering and its institutional coherence. Industrial and Corporate Change 13, pp. 967-981).},
	keywords = {contributors, Human capital, leadership, roles, sourceforge, team},
	issn = {0167-6245},
	doi = {DOI: 10.1016/j.infoecopol.2008.06.002},
	url = {http://www.sciencedirect.com/science/article/B6V8J-4SRW10C-1/2/5ce36096ba3947338962268b54a5a7a9},
	author = {Paola Giuri and Francesco Rullani and Salvatore Torrisi}
}
@article {GonzalezBarahona2008356,
	title = {Geographic origin of libre software developers},
	journal = {Information Economics and Policy},
	volume = {20},
	number = {4},
	year = {2008},
	note = {Empirical Issues in Open Source Software},
	pages = {356 - 363},
	abstract = {This paper examines the claim that libre (free, open source) software involves global development. The anecdotal evidence is that developers usually work in teams including individuals residing in many different geographical areas, time zones and even continents and that, as a whole, the libre software community is also diverse in terms of national origin. However, its exact composition is difficult to capture, since there are few records of the geographical location of developers. Past studies have been based on surveying a limited (and sometimes biased) sample and extrapolating that sample to the global distribution of developers. In this paper we present an alternate approach in which databases are analyzed to create traces of information from which the geographical origin of developers can be inferred. Applying this technique to the SourceForge users database and the mailing lists archives from several large projects, we have estimated the geographical origin of more than one million individuals who are closely related to the libre software development process. The paper concludes that the result is a good proxy for the actual distribution of libre software developers working on global projects.},
	keywords = {developers, email, email address, email archives, geography, mailing list, open source software, sourceforge, timezone, users},
	issn = {0167-6245},
	doi = {DOI: 10.1016/j.infoecopol.2008.07.001},
	url = {http://www.sciencedirect.com/science/article/B6V8J-4T3DCPK-1/2/3981dfbc523eae1d1ce65fb1f0c0edb7},
	author = {Jesus M. Gonzalez-Barahona and Gregorio Robles and Roberto Andradas-Izquierdo and Rishab Aiyer Ghosh}
}
@conference {624,
	title = {Exploring the Effects of Coordination and Communication Tools on the Efficiency of Open Source Projects using Data Envelopment Analysis},
	booktitle = {OSS2007: Open Source Development, Adoption and Innovation (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing },
	volume = {234/2007},
	year = {2007},
	note = {"based on the date january 8, 2007, we selected the 30 most often downloaded projects from Sourceforge.net"},
	month = {2007///},
	pages = {97 - 108},
	publisher = {Springer},
	organization = {Springer},
	chapter = {8},
	abstract = {In this paper, we propose to explore possible benefits of communication and coordination tools in open source projects using data envelopment analysis (DEA), a general method for efficiency comparisons. DEA offers several advantages: It is a non-parametric optimization method without any need for the user to define any relations between different factors or a production function, can account for economies or diseconwhile omies of scale, and is able to deal with multi-input, multi-output systems in which the factors have different scales. Using a data set of 30 open source project retrieved from SourceForge.net, we demonstrate the application of DEA, showing that the efficiency of the projects is in general relatively high. Regarding the effects of tool employment on the efficiency of projects, the results were surprising: Most of the possible tools, and overall usage, showed a negative relationship to efficiency.
},
	keywords = {metadata, sourceforge},
	issn = {978-0-387-72485-0},
	doi = {http://dx.doi.org/10.1007/978-0-387-72486-7_8},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Exploring\%20the\%20Effects\%20Coodination.pdf},
	author = {Koch, Stefan}
}
@article {1416,
	title = {Identifying Success and Abandonment of Free/Libre and Open Source (FLOSS) Commons: A Preliminary Classification of Sourceforge.net projects},
	journal = {Upgrade: The European Journal for the Informatics Professional},
	volume = {VIII},
	year = {2007},
	pages = {54-59},
	abstract = {Free/Libre and Open Source Software (FLOSS) projects are a form of commons where individuals work collectively to produce software that is a public, rather than a private, good. The famous phrase {\textquotedblleft}Tragedy of the Commons{\textquotedblright} describes a situation where a natural resource commons, such as a pasture, or a water supply, gets depleted because of overuse. The tragedy in FLOSS commons is distinctly different: It occurs when collective action ceases before a software product is produced or reaches its full potential. This paper builds on previous work about defining success in FLOSS projects by taking a collective action perspective. We first report the results of interviews with FLOSS developers regarding our ideas about success and failure in FLOSS projects. Building on those interviews and previous work, we then describe our criteria for defining success/tragedy in FLOSS commons. Finally, we discuss the results of a preliminary classification of nearly all projects hosted on Sourceforge.net as of August 2006.},
	keywords = {flossmole, sourceforge, success},
	url = {http://www.cepis.org/upgrade/files/full-VI-07.pdf},
	author = {English, R. and Schweik, C. M.}
}
@conference {1225,
	title = {Programming Language Trends in Open Source Development: An Evaluation Using Data from All Production Phase SourceForge Projects},
	booktitle = {2nd Workshop on Public Data about Software Development (WoPDaSD 2007)},
	year = {2007},
	note = {"Our data were gathered from the SourceForge Research Ar- chive (SFRA) [4] and the CVS repositories Open Source projects hosted on SourceForge. We used cvs2mysql and SFRA+ to collect the data. cvs2mysql gathers data from CVS repositories and writes them to SQL scripts for im- port into a MySQL 5.0 database. The data collected by cvs2mysql are the name of the file, the location of the file in the repository, the type and state of the file, as well as the author, date, number of lines added and removed, and the author{\textquoteright}s message for each revision to the file."},
	abstract = {In this work, we analyze data collected from the CVS repos- itories of 9,997 Open Source projects hosted on SourceForge in an effort to understand trends in programming language usage in the Open Source community between 2000 and 2005. The trends we consider include: 1) the relative popularity of the ten most popular programming languages over time, 2) the use of multiple programming languages by individual programmers and by individual projects, and 3) the programming languages most often used in combination.},
	keywords = {cvs, cvs2mysql, programming languages, sfra, sourceforge, srda},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Delorey2007b.pdf},
	author = {Delorey, Daniel P. and Knutson, Charles D. and Giraud-Carrier, C.}
}
@article {flosswp405,
	title = {Self-organization of teams for free/libre open source software development},
	journal = {Information and Software Technology Journal},
	volume = {49},
	number = {564-575},
	year = {2007},
	note = {"First, the data from these projects that we needed for analysis had to be publicly available (ruling out projects that limit access to their email lists or trackers). Second, we chose the projects that had more than 7 members"..."projects that have attracted numerous developers beyond the initial project founders, are continuing to release software, have numerous downloads and have an active user community that provides feedback"
"3 FLOSS projects were selected for analysis, namely Gaim, eGroupWare and Compiere ERP."

all had sourceforge hosting

Data: "The primary data used for our study were interactions on the main developer communication forum, either a developer mailing list or web-based discussion forum."

Analysis: "For this project, we inductively content-analyzed developer email interactions to identify the task assignment mechanisms used in the process. We coded each instance of task assignment identified on three dimensions: who assigned the task, to whom, and how"
},
	abstract = {This paper provides empirical evidence about how free/libre open source software development teams self-organize their work. Following a case study methodology, we examined developer interaction data from three active and successful FLOSS projects using qualitative research methods, specifically inductive content analysis, to identify the task-assignment mechanisms used by the participants. We found that "self-assignment" was the most common mechanism across three FLOSS projects. This mechanism is consistent with expectations for distributed and largely volunteer teams. We conclude by discussing whether these emergent practices can be usefully transferred to mainstream practice and indicating directions for future research.},
	keywords = {case study, compiere, coordination, DESIGN, distributed teams, egroupware, email, email archives, forum, free/libre open source software development, gaim, INTERNET, mailing list, metadata, qualitative research methods, self-organizing teams, sourceforge, SYSTEMS, task assignment, WORK},
	attachments = {https://flosshub.org/sites/flosshub.org/files/task_assignment_final.pdf},
	author = {Kevin Crowston and Li, Qing and Kangning Wei and Eseryel, U. Yeliz and Howison, James}
}
@article {119,
	title = {Social network structures in open source software development teams},
	journal = {Journal of Database Management},
	volume = {18},
	number = {2},
	year = {2007},
	note = {"Three projects were selected from SourceForge.net in terms of their similarities as well as their differences. Monthly data were extracted from the bug tracking systems in order to achieve a longitudinal view of the interaction pattern of each project. Social network analysis was used to generate the indices of social structure."

no pdf},
	month = {Apr-Jun},
	pages = {25-40},
	abstract = {Drawing on social network theories and previous studies, this research examines the dynamics of social network structures in open source software (OSS) teams. Three projects were selected from SourceForge.net in terms of their similarities as well as their differences. Monthly data were extracted from the bug tracking systems in order to achieve a longitudinal view of the interaction pattern of each project. Social network analysis was used to generate the indices of social structure. The finding suggests that the interaction pattern of OSS projects evolves from a single hub at the beginning to a corel periphery model as the projects move forward.},
	keywords = {bug tracking, bugs, COMMUNITY, INNOVATION, longitudinal study, MODEL, open source, social, social network analysis, social networks, sourceforge, structure},
	isbn = {1063-8016},
	author = {Long, Y. and Siau, K.}
}
@conference {1212,
	title = {Studying Production Phase SourceForge Projects: An Exploratory Analysis Using cvs2mysql and SFRA},
	booktitle = {2nd Workshop on Public Data about Software Development (WoPDaSD 2007)},
	year = {2007},
	month = {2007},
	abstract = {A wealth of data can be extracted from the natural by-products of software development processes and used in empirical studies of software engineering. However, the size and accuracy of such studies depend in large part on the availability of tools that facilitate the collection of data from individual projects and the combination of data from multiple projects. To demonstrate this point, we present our experience gathering and analyzing data from nearly 10,000 open source projects hosted on SourceForge. We describe the tools we developed to collect the data and the ways in which these tools and data may be used by other researchers. We also provide examples of statistics that we have calculated from these data to describe interesting author- and project-level behaviors of the SourceForge community.},
	keywords = {Data Collection, forge, repositories, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Delorey2007c.pdf},
	author = {Delorey, Daniel P. and Knutson, Charles D. and MacLean, Alexander C.}
}
@article {90,
	title = {Core and periphery in Free/Libre and Open Source software team communications},
	journal = {Proceedings of the 39th Annual Hawaii International Conference on System Sciences-Volume 06},
	year = {2006},
	abstract = {The concept of the core group of developers is important and often discussed in empirical studies of FLOSS projects. This paper examines the question, "how does one empirically distinguish the core?" Being able to identify the core members of a FLOSS development project is important because many of the processes necessary for successful projects likely involve core members differently than peripheral members, so analyses that mix the two groups will likely yield invalid results. 

We compare 3 analysis approaches to identify the core: the named list of developers, a Bradford{\textquoteright}s law analysis that takes as the core the most frequent contributors and a social network analysis of the interaction pattern that identifies the core in a core-and-periphery structure. We apply these measures to the interactions around bug fixing for 116 SourceForge projects. The 3 techniques identify different individuals as core members; examination of which individuals are identified leads to suggestions for refining the measures. All 3 measures though suggest that the core of FLOSS projects is a small fraction of the total number of contributors.},
	keywords = {bug fixing, contributions, contributors, core, developers, social network analysis, sourceforge, team},
	author = {Kevin Crowston and Kangning Wei and Li, Qing and Howison, James}
}
@conference {Robles:2006:GLD:1137983.1138017,
	title = {Geographic location of developers at SourceForge},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {144{\textendash}150},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {The development of libre (free/open source) software is usually performed by geographically distributed teams. Participation in most cases is voluntary, sometimes sporadic, and often not framed by a pre-defined management structure. This means that anybody can contribute, and in principle no national origin has advantages over others, except for the differences in availability and quality of Internet connections and language. However, differences in participation across regions do exist, although there are little studies about them. In this paper we present some data which can be the basis for some of those studies. We have taken the database of users registered at SourceForge, the largest libre software development web-based platform, and have inferred their geographical locations. For this, we have applied several techniques and heuristics on the available data (mainly e-mail addresses and time zones), which are presented and discussed in detail. The results show a snapshot of the regional distribution of SourceForge users, which may be a good proxy of the actual distribution of libre software developers. In addition, the methodology may be of interest for similar studies in other domains, when the available data is similar (as is the case of mailing lists related to software projects).},
	keywords = {distributed, email, email address, free software, geographical location, geography, libre software, mining software repositories, open source software, sourceforge, timezone},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138017},
	url = {http://doi.acm.org/10.1145/1137983.1138017},
	attachments = {https://flosshub.org/sites/flosshub.org/files/144GeographicLocation.pdf},
	author = {Gregorio Robles and Jesus M. Gonzalez-Barahona}
}
@article {Crowston:2006a,
	title = {Hierarchy and centralization in Free and Open Source Software team communications},
	journal = {Knowledge, Technology \& Policy},
	volume = {18},
	number = {4},
	year = {2006},
	pages = {65{\textendash}85},
	abstract = {Free/Libre Open Source Software (FLOSS) development teams provide an interesting and convenient setting for studying distributed work. We begin by answering perhaps the most basic question: what is the social structure of these teams? Based on a social network analysis of interactions represented in 62,110 bug reports from 122 large and active projects, we find that some OSS teams are highly centralized, but contrary to expectation, others are not. Projects are mostly quite hierarchical on four measures of hierarchy, consistent with past research but contrary to the popular image of these projects. Furthermore, we find that the level of centralization is negatively correlated with project size, suggesting that larger projects become more modular. The paper makes a further methodological contribution by identifying appropriate analysis approaches for interaction data. We conclude by sketching directions for future research.},
	keywords = {apache, bug fixing, bug tracking, FLOSS, project success, savannah, social network analysis, sourceforge, team size, teams},
	attachments = {https://flosshub.org/sites/flosshub.org/files/CrowstonHierarchyAndCentralization.pdf},
	author = {Kevin Crowston and Howison, James}
}
@article {flosswp113,
	title = {The Impact of Ideology on Effectiveness in Open Source Software Development Teams},
	journal = {MIS Quarterly},
	volume = {30},
	number = {2},
	year = {2006},
	note = {"...we collected data related to OSS projects hosted on Sourceforge (www.sourceforge.net)."
"Data was collected using two surveys and from the Sourceforge website."
},
	month = {2006},
	pages = {291-314},
	abstract = {The emerging work on understanding open source software has argued for the importance of understanding what leads to effectiveness in OSS development teams and has pointed to the importance of ideology. This paper develops a framework of the OSS ideology (including specific norms, beliefs, and values) and a theoretical model to show how adherence to components of the ideology impact effectiveness in OSS teams. The model is based on the idea that ideology provides clan control, which is important in OSS development settings because OSS teams generally lack formal behavioral and outcome controls. The paper hypothesizes both direct effects of ideology on OSS team effectiveness and indirect effects via influences on affective trust, cognitive trust, and communication quality. Hypotheses are tested using survey and objective data on OSS projects. Four effectiveness measures are used to capture unique aspects of effectiveness in OSS including both the extent to which a team attracts input from the community and the team{\textquoteright}s success in accomplishing project outcomes. Results support the main thesis that OSS team members{\textquoteright} adherence to the tenets of the OSS community ideology enhances OSS team effectiveness. The study uncovers several differences in the importance of OSS norms, beliefs, and values to different kinds of OSS team effectiveness and discusses implications for theory and practice.},
	keywords = {bug fixing, bug reports, bug tracking, communication, COMMUNITY, effectiveness, feature requests, ideology, metadata, sourceforge, Survey, team effort, team size, trust},
	attachments = {https://flosshub.org/sites/flosshub.org/files/stewartgosain2.pdf},
	author = {Stewart, K. and Gosain, S.}
}
@conference {693,
	title = {Impact of Social Ties on Open Source Project Team Formation},
	booktitle = {OSS2006: Open Source Systems (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing },
	volume = {203/2006},
	year = {2006},
	note = {"we randomly selected 1030 new projects that were registered between X and X in 2005. A web crawler downloaded the HTML files containing project summary data and developer information on the date of registration."},
	month = {2006///},
	pages = {307 - 317},
	publisher = {Springer},
	organization = {Springer},
	abstract = {In this paper, we empirically examined the role of social ties in OSSD team formation and developer joining behavior. We find that the existence and the amount of prior social relations in the network do increase the probability of an OSS project to attract more developers. Interestingly, for projects without preexisting social ties, developers tend to join the project initiated by people with less OSSD experience. This research fills a gap in the open source literature by conducting an empirical investigation of the role of social relations on project team formation behavior. Furthermore, the adoption of social network analysis, which has received little attention in the OSS literature, can yield some interesting results on the interactions among OSS developers.
},
	keywords = {developers, metadata, social network analysis, sourceforge},
	issn = {978-0-387-34225-2},
	doi = {http://dx.doi.org/10.1007/0-387-34226-5_31},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Impact\%20of\%20Social\%20Ties\%20on\%20Open\%20Source\%20Project.pdf},
	author = {Hahn, Jungpil and Moon, Jae and Zhang, Chen}
}
@article {Crowston:2006,
	title = {Information systems success in Free and Open Source Software development: Theory and measures},
	journal = {Software Process{\textendash}Improvement and Practice},
	volume = {11},
	number = {2},
	year = {2006},
	note = {"we continue our examination of success measures using data from Sourceforge..."
"e chose the number of developers (assessed from the records of the project and from bug fixing logs), bug-fixing time, and popularity (assessed from the number of downloads and viewings of project Web pages, and inclusion in distributions). These measures were chosen because they span the reconsidered FLOSS development process discussed above, including inputs (number of developers), process (speed of bug fixing) and output (popularity)."},
	pages = {123{\textendash}148},
	abstract = {Information systems success is one of the most widely used dependent variables in information systems (IS) research, but research on Free/Libre and Open Source software (FLOSS) often fails to appropriately conceptualize this important concept. In this paper, we reconsider what success means within a FLOSS context. We first review existing models of IS success and success variables used in FLOSS research and assess them for their usefulness, practicality and fit to the FLOSS context. Then, drawing on a theoretical model of group effectiveness in the FLOSS development process, as well as an online discussion group with developers, we present additional concepts that are central to an appropriate understanding of success for FLOSS. In order to examine the practicality and validity of this conceptual scheme, the second half of our paper presents an empirical study that demonstrates its operationalization of the chosen measures and assesses their internal validity. We use data from SourceForge to measure the project{\textquoteright}s effectiveness in team building, the speed of the project at responding to bug reports and the project{\textquoteright}s popularity. We conclude by discussing the implications of this study for our proposed extension of IS success in the context of FLOSS development and highlight future directions for research.},
	keywords = {bug fixing, developers, downloads, FLOSS, flossmole, page views, popularity, project success, size, sourceforge, success, team size},
	doi = {10.1002/spip.259},
	attachments = {https://flosshub.org/sites/flosshub.org/files/CrowstonHowisonAnnabi2006.pdf},
	author = {Kevin Crowston and Howison, James and Hala Annabi}
}
@article {Grewal:2006:LLL:1246148.1246155,
	title = {Location, Location, Location: How Network Embeddedness Affects Project Success in Open Source Systems},
	journal = {Management Science},
	volume = {52},
	number = {7},
	year = {2006},
	month = {July},
	pages = {1043{\textendash}1056},
	publisher = {INFORMS},
	address = {Institute for Operations Research and the Management Sciences (INFORMS), Linthicum, Maryland, USA},
	abstract = {The community-based model for software development in open source environments is becoming a viable alternative to traditional firm-based models. To better understand the workings of open source environments, we examine the effects of network embeddedness---or the nature of the relationship among projects and developers---on the success of open source projects. We find that considerable heterogeneity exists in the network embeddedness of open source projects and project managers. We use a visual representation of the affiliation network of projects and developers as well as a formal statistical analysis to demonstrate this heterogeneity and to investigate how these structures differ across projects and project managers. Our main results surround the effect of this differential network embeddedness on project success. We find that network embeddedness has strong and significant effects on both technical and commercial success, but that those effects are quite complex. We use latent class regression analysis to show that multiple regimes exist and that some of the effects of network embeddedness are positive under some regimes and negative under others. We use project age and number of page views to provide insights into the direction of the effect of network embeddedness on project success. Our findings show that different aspects of network embeddedness have powerful but subtle effects on project success and suggest that this is a rich environment for further study.},
	keywords = {affiliation network, age, developers, latent class analysis, network embeddedness, open source software, page views, perl, project success, registration, sourceforge},
	issn = {0025-1909},
	doi = {10.1287/mnsc.1060.0550},
	url = {http://portal.acm.org/citation.cfm?id=1246148.1246155},
	author = {Grewal, Rajdeep and Lilien, Gary L. and Mallapragada, Girish}
}
@article {2006,
	title = {Opportunities and Challenges Applying Functional Data Analysis to the Study of Open Source Software Evolution},
	journal = {Statistical Science},
	volume = {21},
	number = {2},
	year = {2006},
	note = {"As part of a larger project, data were collected on 105 OSS	projects hosted online at Sourceforge (sf.net)." "...we limited our data collection to projects that use only the Java programming language and were listed in the Internet and System Networking domains." "... only including these projects that use an OSI approved license..." "had to have posted at least one file on the Sourceforge site as of the time of our initial project selection Fall 2002" "Data were collected on the published release history of each project thatmet the screening criteria. Each release of each project was
analyzed to calculate CplXLCoh. The size of each release was measured using a calculation of the number of lines of code (LOC)"},
	pages = {167-178},
	publisher = {Institute of Mathematical Statistics},
	abstract = {This paper explores the application of functional data analysis (FDA) as a means to study the dynamics of software evolution in the open source context. Several challenges in analyzing the data from software projects are discussed, an approach to overcoming those challenges is described, and preliminary results from the analysis of a sample of open source software (OSS) projects are provided. The results demonstrate the utility of FDA for uncovering and categorizing multiple distinct patterns of evolution in the complexity of OSS projects. These results are promising in that they demonstrate some patterns in which the complexity of software decreased as the software grew in size, a particularly novel result. The paper reports preliminary explorations of factors that may be associated with decreasing complexity patterns in these projects. The paper concludes by describing several next steps for this research project as well as some questions for which more sophisticated analytical techniques may be needed.},
	keywords = {complexity, evolution, fda, java, lines of code, loc, release history, scm, size, sourceforge},
	issn = {08834237},
	url = {http://www.jstor.org/stable/27645747},
	author = {Stewart, Katherine J. and Darcy, David P. and Daniel, Sherae L.}
}
@article {1088,
	title = {Self-Organization Patterns in Wasp and Open Source Communities},
	journal = {IEEE Intelligent Systems},
	volume = {21},
	year = {2006},
	note = {"To investigate such claims, we studied an OSS community{\textquoteright}s social network from a dataset describing the email activity of 120 different software teams"
"Our test data originated from Sourceforge (http://sourceforge.net), a large open source project repository, and included communi- ties ranging from very small networks with one or two members to large networks with thousands of members."
"we limited our consideration to email traffic associated with bug fixes and bug reporting. As other researchers have shown[5] this email subset allows an effective reconstruction of the software community{\textquoteright}s social network."
"We thank Kevin Crowston and James Howison for making their software data publicly available."},
	month = {03/2006},
	pages = {36 - 40},
	abstract = {In this paper, we conducted a comparative study of how social organization takes place in a wasp colony and OSS developer communities. Both these systems display similar global organization patterns, such as hierarchies and clear labor divisions. As our analysis shows, both systems also define interacting agent networks with similar common features that reflect limited information sharing among agents. As far as we know, this is the first research study analyzing the patterns and functional significance of these systems{\textquoteright} weighted-interaction networks. By illuminating the extent to which self-organization is responsible for patterns such as hierarchical structure, we can gain insight into the origins of organization in OSS communities.},
	keywords = {agents, decentralization, developers, email, email archives, flossmole, hierarchy, labor division, organization, self-organizing teams, social network analysis, social networks, sourceforge, teams, wasps},
	issn = {1541-1672},
	doi = {10.1109/MIS.2006.34},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.95.5574\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/valverde.pdf},
	author = {Valverde, S. and Theraulaz, G. and Gautrais, J. and Fourcassie, V. and Sole, R.V.}
}
@conference {708,
	title = {Social dynamics of free and open source team communications},
	booktitle = {OSS2006: Open Source Systems (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing },
	volume = {203/2006},
	year = {2006},
	month = {06/2006},
	pages = {319 - 330},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This paper furthers inquiry into the social structure of free and open source software (FLOSS) teams by undertaking social network analysis across time. Contrary to expectations, we confirmed earlier findings of a wide distribution of centralizations even when examining the networks over time. The paper also provides empirical evidence that while change at the center of FLOSS projects is relatively uncommon, participation across the project communities is highly skewed, with many participants appearing for only one period. Surprisingly, large project teams are not more likely to undergo change at their centers.
},
	keywords = {bug fixing, bug reports, bug tracker, bug tracking, bugs, communications, Dynamic social networks, FLOSS teams, Human Factors, social network analysis, software development, sourceforge},
	issn = {978-0-387-34225-2},
	doi = {http://dx.doi.org/10.1007/0-387-34226-5_32},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Social\%20dynamics\%20of\%20free\%20and\%20open\%20source\%20team.pdf},
	author = {Howison, James and Inoue, Keisuke and Kevin Crowston}
}
@conference {1090,
	title = {A Topological Analysis of the Open Souce Software Development Community},
	booktitle = {Proceedings of the 38th Annual Hawaii International Conference on System Sciences},
	year = {2006},
	note = {"We extracted data from a 2003 data dump obtained from SourceForge. "
roles},
	pages = {1-10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Big Island, HI, USA},
	abstract = {The fast growth of OSS has increased the interest in studying the composition of the OSS community and its collaboration mechanisms. Moreover, the success of a project may be related to the underlying social structure of the OSS development community. In this paper, we perform a quantitative analysis of Open Source Software developers by studying the entire development community at SourceForge [26]. Statistics and social network properties are explored to find collaborations and the effects of different members in the OSS development community. Small world phenomenon and scale free behaviors are found in the SourceForge development network. These topological properties may potentially explain the success and efficiency of OSS development practices. We also infer from our analysis that weakly associated but contributing co-developers and active users may be an important factor in OSS development.},
	keywords = {contributors, developers, roles, social network analysis, social networks, sourceforge, srda, users},
	doi = {10.1109/HICSS.2005.57},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.132.6830\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/xuGao.pdf},
	author = {Jin Xu and Gao, Yongqin and Christley, S. and Madey, G.}
}
@conference {Ohira:2005:ACK:1083142.1083163,
	title = {Accelerating cross-project knowledge collaboration using collaborative filtering and social networks},
	booktitle = {Proceedings of the 2005 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}05},
	year = {2005},
	pages = {111-115},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Vast numbers of free/open source software (F/OSS) development projects use hosting sites such as Java.net and SourceForge.net. These sites provide each project with a variety of software repositories (e.g. repositories for source code sharing, bug tracking, discussions, etc.) as a media for communication and collaboration. They tend to focus on supporting rich collaboration among members in each project. However, a majority of hosted projects are relatively small projects consisting of few developers and often need more resources for solving problems. In order to support cross-project knowledge collaboration in F/OSS development, we have been developing tools to collect data of projects and developers at SourceForge, and to visualize the relationship among them using the techniques of collaborative filtering and social networks. The tools help a developer identify {\textquotedblleft}who should I ask?{\textquotedblright} and {\textquotedblleft}what can I ask?{\textquotedblright} and so on. In this paper, we report a case study of applying the tools to F/OSS projects data collected from SourceForge and how effective the tools can be used for helping cross-project knowledge collaboration.},
	keywords = {collaborative filtering, developers, knowledge collaboration, projects, social networks, sourceforge, visualization tool},
	isbn = {1-59593-123-6},
	doi = {http://doi.acm.org/10.1145/1082983.1083163},
	url = {http://doi.acm.org/10.1145/1082983.1083163},
	attachments = {https://flosshub.org/sites/flosshub.org/files/111Accelerating.pdf},
	author = {Ohira, Masao and Ohsugi, Naoki and Ohoka, Tetsuya and Matsumoto, Ken-ichi}
}
@article {1079,
	title = {Are All Open Source Projects Created Equal? Understanding the Sustainability of Open Source Software Development Model},
	journal = {AMCIS 2005 Proceedings},
	number = {435},
	year = {2005},
	note = {uses first 300 most active projects on Sourceforge: {\textquoteright}Our data sample consists of 300 open source software development projects hosted in the Sourceforge.Net. They are the first 300 active projects ranked by Sourceforge.Net....Our dependent variable in the model to measure the success of the projects is the number of downloads. It is an essential variable to show how successful the project is. Generally, more number of downloads means a more successful project. Independent variables include: development status, project lifespan, number of developers, number of messages in the forums, number of mailing list, number of bug report, number of patch report, number of CVS report, number of file releases and also number of news release."},
	abstract = {A very intriguing question in Open Source software (OSS) development is: why there are only a few open source projects succeed, while the majority of projects never do. In this research, we examine the factors that may influence the performance of OSS projects. We particularly focus on the OSS{\textquoteright}s core developers{\textquoteright} role in the project{\textquoteright}s success. Extant research has yet to distinguish core developers and non-core developers from the community at large. The different roles of the core developers and non-core developers in OSS projects{\textquoteright} success still remain unclear. Our research contributes to the literature by separating the core developers from the development forces in general and empirically examining the core developers{\textquoteright} importance. Drawing the evidences from our extensive dataset of 300 open source projects, we demonstrated that core developers{\textquoteright} leadership and project advocation are crucial in determining the fate of the OSS projects. Our research could provide better understanding of OSS sustainability. It could also give practical advice to the OSS community on how to make the project successful.},
	keywords = {contributors, core, developers, downloads, metadata, project success, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/LongYuan.pdf},
	author = {Long, J. and Yuan, M.J.}
}
@conference {Huang:2005:MVH:1083142.1083158,
	title = {Mining version histories to verify the learning process of Legitimate Peripheral Participants},
	booktitle = {Proceedings of the 2005 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}05},
	year = {2005},
	pages = {84-88},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Since code revisions reflect the extent of human involvement in the software development process, revision histories reveal the interactions and interfaces between developers and modules.We therefore divide developers and modules into groups according to the revision histories of the open source software repository, for example, sourceforge.net. To describe the interactions in the open source development process, we use a representative model, Legitimate Peripheral Participation (LPP) [6], to divide developers into groups such as core and peripheral teams, based on the evolutionary process of learning behavior.With the conventional module relationship, we divide modules into kernel and non-kernel types (such as UI). In the past, groups of developers and modules have been partitioned naturally with informal criteria. In this work, however, we propose a developer-module relationship model to analyze the grouping structures between developers and modules. Our results show some process cases of relative importance on the constructed graph of project development. The graph reveals certain subtle relationships in the interactions between core and non-core team developers, and the interfaces between kernel and non-kernel modules.},
	keywords = {awstats, bzflag, cvs, filezilla, gallery, Legitimate Peripheral Participants (LPP), moodle, open boundary, open source software development process, phpmyadmin, social networks, sourceforge},
	isbn = {1-59593-123-6},
	doi = {http://doi.acm.org/10.1145/1082983.1083158},
	url = {http://doi.acm.org/10.1145/1082983.1083158},
	attachments = {https://flosshub.org/sites/flosshub.org/files/84MiningVersion.pdf},
	author = {Huang, Shih-Kun and Liu, Kang-min}
}
@conference {77,
	title = {Do the Rich Get Richer? The Impact of Power Laws on Open Source Development Projects},
	booktitle = {2004 Open Source Conference (OSCON)},
	year = {2004},
	type = {conference presentation},
	address = {Portland, OR, USA},
	keywords = {open source, power law, social network analysis, sourceforge},
	author = {Conklin, Megan}
}
@proceedings {flosswp181,
	title = {The perils and pitfalls of mining SourceForge},
	year = {2004},
	month = {05/2004},
	pages = {7-11},
	abstract = {SourceForge provides abundant accessible data from Open Source Software development projects, making it an attractive data source for software engineering research. However it is not without theoretical peril and practical pitfalls. In this paper, we outline practical lessons gained from our spidering, parsing and analysis of SourceForge data. SourceForge can be practically difficult: projects are defunct, data from earlier systems has been dumped in and crucial data is hosted outside SourceForge, dirtying the retrieved data. These practical issues play directly into analysis: decisions made in screening projects can reduce the range of variables, skewing data and biasing correlations. SourceForge is theoretically perilous: because it provides easily accessible data items for each project, tempting researchers to fit their theories to these limited data. Worse, few are plausible dependent variables. Studies are thus likely to test the same hypotheses even if they start from different theoretical bases. To avoid these problems, analyses of SourceForge projects should go beyond project level variables and carefully consider which variables are used for screening projects and which for testing hypotheses.},
	keywords = {Data Collection, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/howison04msr.pdf},
	author = {Howison, James and Kevin Crowston}
}
@conference {flosswp180,
	title = {Towards a Portfolio of FLOSS project Success Measures},
	booktitle = {Workshop on Open Source Software Engineering, International Conference on Software Engineering},
	year = {2004},
	month = {May},
	abstract = {Project success is one of the most widely used dependent variables in information systems research. However, conventional measures of project success are difficult to apply to Free/Libre Open Source Software projects. In this paper, we present an analysis of four measures of success applied to SourceForge projects: number of members of the extended development community, project activity, bug fixing time and number of downloads. We argue that these four measures provide different insights into the collaboration and control mechanisms of the projects.},
	keywords = {bug fixing, developers, downloads, project success, sourceforge, team, team size},
	attachments = {https://flosshub.org/sites/flosshub.org/files/crowston04towards.pdf},
	author = {Kevin Crowston and Hala Annabi and Howison, James and Chengetai Masango}
}
@article {flosswp85,
	title = {An Introduction to Open Source Communities},
	year = {2003},
	month = {04/2003},
	institution = {Blue Oxen Associates},
	abstract = {This report describes what open source communities are and how they work. It cites relevant research and presents original case studies of two open source projects: TouchGraph and SquirrelMail. It then identifies patterns of collaboration shared by these projects, and describes how these patterns might apply to other types of communities. Finally, it reviews what is still not well understood about open source communities, and proposes several paths for further research.},
	keywords = {free software foundation directory, freshmeat, fsf, sourceforge, squirrelmail, touchgraph},
	attachments = {https://flosshub.org/sites/flosshub.org/files/blueoxen.pdf},
	author = {Eugene Eric Kim}
}
@conference {DBLP:conf/pakdd/ChawlaAD03,
	title = {Mining Open Source Software (OSS) Data Using Association Rules Network},
	booktitle = {Lecture Notes in Computer Science },
	volume = {2637},
	year = {2003},
	pages = {461-466},
	abstract = {The Open Source Software(OSS) movement has attracted considerable attention in the last few years. In this paper we report our results of mining data acquired from SourceForge.net, the largest open source software hosting website. In the process we introduce Association Rules Network(ARN), a (hyper)graphical model to represent a special class of association rules. Using ARNs we discover important relationships between the attributes of successful OSS projects. We verify and validate these relationships using Factor Analysis, a classical statistical technique related to Singular Value Decomposition(SVD).},
	keywords = {arn, association rules, factor analysis, project success, sourceforge, svd},
	author = {Sanjay Chawla and Bavani Arunasalam and Joseph G. Davis}
}
@article {123,
	title = {Open source software development and Lotka{\textquoteright}s Law: Bibliometric patterns in programming},
	journal = {Journal of the American Society for Information Science and Technology},
	volume = {54},
	number = {2},
	year = {2003},
	note = {"Two lead- ing metadata repositories are the Linux Software Map (LSM) and Sourceforge, both of which were used for this research."
"For this article, we examined data listing the number of registered developers for each software project hosted by Sourceforge."
"The data we obtained from the LSM collection were taken mainly from the Author: field of LSM records. The Author: field in LSM records gives us the ability to track the author of record for a software package. LSM metadata also include a list of maintainers, primary software distribution sites, date of update and other items."
"The data we obtained from Sourceforge consist of a list of developer ID numbers, followed by the number of projects on which the individual is listed as a developer, then the number of projects on which the individual is listed as an administrator. These data were provided for all 33,892 individuals registered to work on projects hosted by Sourceforge in July 2001."},
	pages = {169-178},
	abstract = {This research applies Lotka{\textquoteright}s Law to metadata on open source software development. Lotka{\textquoteright}s Law predicts the proportion of authors at different levels of productivity. Open source software development harnesses the creativity of thousands of programmers worldwide, is important to the progress of the Internet and many other computing environments, and yet has not been widely researched. We examine metadata from the Linux Software Map (LSM), which documents many open source projects, and Sourceforge, one of the largest resources for open source developers. Authoring patterns found are comparable to prior studies of Lotka{\textquoteright}s Law for scientific and scholarly publishing. Lotka{\textquoteright}s Law was found to be effective in understanding software development productivity patterns, and offer promise in predicting aggregate behavior of open source developers.},
	keywords = {developers, linux, linux software map, lsm, sourceforge, team size},
	doi = {10.1002/asi.10177},
	author = {Newby, G. B. and Greenberg, J. and Jones, P.}
}
@conference {Wynn03organizationalstructure,
	title = {Organizational Structure of Open Source Projects: A Life Cycle Approach},
	booktitle = {Proceedings of 7th Annual Conference of the Southern Association for Information Systems},
	year = {2003},
	note = {"The three graphs in Figure 2 below were taken from smoothed download counts for existing open source projects on Sourceforge.net"
"A random sample of 150 open source projects will be taken from data provided by Sourceforge.net. Each project will be evaluated to determine their current life cycle stage (where possible) using download counts. Next, the project admins, developers, and several identifiable users for each evaluated project will be contacted via email to request completing a brief questionnaire to measure the current focus of the project, formal structure, division of labor, leader role, coordination, level of commitment, user success, and developer success. "},
	abstract = {The structure of open source project communities is discussed in relation to the organizational life cycle. In lieu of sales figures, the download counts for each project are used to identify the life cycle stage of a random sample of open source projects. A research model is proposed that attempts to measure the fit between the life cycle stage and the specific organizational characteristics of these projects (focus, division of labor, role of the leader, level of commitment, and coordination/control) as an indicator of the success of a project as measured by the satisfaction and involvement of both developers and users.},
	keywords = {division of labor, downloads, growth, interview, leadership, life cycle, lifecycle, project success, roles, sourceforge, Survey},
	attachments = {https://flosshub.org/sites/flosshub.org/files/wynn2004.pdf},
	author = {Donald E. Wynn}
}
@article {flosswp40,
	title = {Cave or Community? An Empirical Examination of 100 Mature Open Source Projects},
	journal = {First Monday},
	volume = {7},
	number = {6},
	year = {2002},
	note = {The author conducts an empirical study of the top 100 mature projects on SourceForge.net to develop an understanding of the F/OSS community. The author sought empirical evidence that would help us understand which is more common- the cave (i.e., lone producer) or the community in F/OSS development. Some key findings include: first, most F/OSS programs are developed by individuals, rather than communities. Second, most OSS programs do not generate a lot of discussion. Third, products with more developers tend to be viewed and downloaded more often. Fourth, the number of developers associated with a project is unrelated to the age of the project.},
	month = {06/2002},
	abstract = {Starting with Eric Raymond{\textquoteright}s groundbreaking work, "The Cathedral and the Bazaar", open-source software (OSS) has commonly been regarded as work produced by a community of developers. Yet, given the nature of software programs, one also hears of developers with no lives that work very hard to achieve great product results. In this paper, I sought empirical evidence that would help us understand which is more common - the cave (i.e., lone producer) or the community. Based on a study of the top 100 mature products on Sourceforge, I find a few surprising things. First, most OSS programs are developed by individuals, rather than communities. The median number of developers in the 100 projects I looked at was 4 and the mode was 1 - numbers much lower than previous numbers reported for highly successful projects! Second, most OSS programs do not generate a lot of discussion. Third, products with more developers tend to be viewed and downloaded more often. Fourth, the number of developers associated with a project was positively correlated to the age of the project. Fifth, the larger the project, the smaller the percent of project administrators.},
	keywords = {age, contributors, developers, project success, registration, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/krishnamurthy.pdf},
	author = {Sandeep Krishnamurthy}
}
@conference {1153,
	title = {Characterizing the OSS process},
	booktitle = {Proceedings of the 2nd ICSE Workshop on Open Source},
	year = {2002},
	note = {"We have considered two well-known Open Source portals (FreshMeat [1] and SourceForge [2] )."
"Using pseudo-random sampling we have selected a sample of 400 projects (mostly from FreshMeat). Each project is described by several variables (programming language, type of license, size of source code, type of documentation available and others). By indirect means (analysis of the Changelog file, or CVS) it is also possible to compute the number of people working on the project, and the number of external contributors. From FreshMeat we get both a vitality index, that considers the number of releases per time period, and a popularity index, which is a first measure of the interest of users to the project (project URL hits, mixed with subscriptions to it)."},
	abstract = {The Open Source model of software development has gained the attention of both the business, the practitioners{\textquoteright} and the research communities. The Open Source process has been described by the seminal paper by Eric Raymond [4] and [5]. However, sound empirical studies are still very limited [3], [6].
Our goal is to investigate the OS process by empirical means, to analyze, characterize it, and possibly model it with quantitative models. It should be noted that the Open Source process provides open process and product data, and therefore is a rare opportunity for empirical research.
Our initial research focus is on the characterization of the process, starting from the evolution of OS projects. In traditional projects, a significant number of releases in a short time is usually considered an instability factor [7] and [8], while in the OSS community, it is an evidence of vitality, shows the commitment of the authors and the power of attraction of other programmers [9]. Is it possible to characterize the vitality of projects? And, can vitality be traced to some other characteristics of a project?},
	keywords = {bugs, change log, classification, cvs, downloads, freshmeat, metadata, patches, popularity, project success, release history, sourceforge, vitality},
	attachments = {https://flosshub.org/sites/flosshub.org/files/CapiluppiLagoMorisio.pdf},
	author = {Capiluppi, Andrea and Patricia Lago and Maurizio Morisio}
}
@inbook {Madey_Freeh_Tynan_2002,
	title = {The open source software development phenomenon: An analysis based on social network theory},
	booktitle = {Proceedings of the Eighth Americas Conference on Information Systems},
	year = {2002},
	pages = {1806{\textendash}1813},
	abstract = {The OSS movement is a phenomenon that challenges many traditional theories in economics, software engineering, business strategy, and IT management. Thousands of software programmers are spending tremendous amounts of time and effort writing and debugging software, most often with no direct monetary compensation. The programs, some of which are extremely large and complex, are written without the benefit of traditional project management, change tracking, or error checking techniques. Since the programmers are working outside of a traditional organizational reward structure, accountability is an issue as well. A significant portion of internet e-commerce runs on OSS, and thus many firms have little choice but to trust mission-critical e-commerce systems to run on such software, requiring IT management to deal with new types of socio-technical problems. A better understanding of how the OSS community functions may help IT planners make more informed decisions and develop more effective strategies for using OSS software. We hypothesize that open source software development can be modeled as self-organizing, collaboration, social networks. We analyze structural data on over 39,000 open source projects hosted at SourceForge.net involving over 33,000 developers. We define two software developers to be connected part of a collaboration social network if they are members of the same project, or are connected by a chain of connected developers. Project sizes, developer project participation, and clusters of connected developers are analyzed. We find evidence to support our hypothesis, primarily in the presence of power-law relationships on project sizes (number of developers per project), project membership (number of projects joined by a developer), and cluster sizes. Potential implications for IT researchers, IT managers, and governmental policy makers are discussed.},
	keywords = {developers, social network analysis, social networks, sourceforge},
	url = {http://ais.bepress.com/cgi/viewcontent.cgi?article=1606\&context=amcis2002},
	attachments = {https://flosshub.org/sites/flosshub.org/files/MadeyFreehAmcis2002.pdf},
	author = {Madey, G. and Freeh, V and Tynan, R}
}
@article {flosswp59,
	title = {Open Source Software Projects as Virtual Organizations: Competency Rallying for Software Development},
	journal = {IEE Proceedings Software},
	volume = {149},
	number = {1},
	year = {2002},
	pages = {3{\textendash}17},
	abstract = {The contribution of this paper is the identification and testing of factors important for the success of Open Source Software (OSS) projects. We present an analysis of OSS communities as virtual organizations and apply Katzy and Crowston{\textquoteright}s (2000) competency rallying (CR) theory to the case of OSS development projects. CR theory suggests that project participants must develop necessary competencies, identify and understand market opportunities, marshal competencies to meet the opportunity and manage a short-term cooperative process. Using data collected from 7477 OSS projects hosted by the SourceForge system (http://sourceforge.net/), we formulate and test a set of specific hypotheses derived from CR theory.},
	keywords = {competencies, competency rallying, coordination, project success, sourceforge, virtual organizations},
	attachments = {https://flosshub.org/sites/flosshub.org/files/crowston.pdf},
	author = {Kevin Crowston and Barbara Scozzi}
}
@article {flosswp63,
	title = {The Scope of Open Source Licensing},
	journal = {Journal of Law, Economics and Organization},
	volume = {21},
	number = {1},
	year = {2002},
	month = {2005},
	pages = {20-56},
	abstract = {This paper is an initial exploration of the determinants of open source license choice. It first enumerates the various considerations that should figure into the licensor{\textquoteright}s choice of contractual terms, in particular highlighting how the decision is shaped not just by the preferences of the licensor itself, but also by that of the community of developers. The paper then presents an empirical analysis of the determinants of license choice using the SourceForge database, a compilation of nearly 40,000 open source projects. Projects geared toward end-users tend to have restrictive licenses, while those oriented toward developers are less likely to do so. Projects that are designed to run on commercial operating systems and those geared towards the Internet are less likely to have restrictive licenses. Finally, projects that are likely to be attractive to consumers such as games are more likely to have restrictive licenses.},
	keywords = {developers, license, licenses, permissive, restrictive, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/lernertirole2.pdf},
	author = {Josh Lerner and Jean Tirole}
}
@conference {Madey02understandingoss,
	title = {Understanding oss as a self-organizing process},
	booktitle = {In The 2nd Workshop on Open Source Software Engineering at the 24th International Conference on Software Engineering (ICSE2002},
	year = {2002},
	abstract = {We hypothesize that open source software development can be modeled as self-organizing, collaboration, social networks. We analyze structural data on over 39,000 open source projects hosted at SourceForge.net. We define two software developers to be connected {\textemdash} part of a collaboration social network {\textemdash} if they are members of the same project, or are connected by a chain of connected developers. Project sizes, developer project participation, and clusters of connected developers are analyzed. We find evidence to support our hypothesis, primarily in the presence of power-law relationships on project sizes (number of developers per project), project membership (number of projects joined by a developer), and cluster sizes.},
	keywords = {developers, size, social network analysis, social networks, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/MadeyFreehTynan.pdf},
	author = {Madey, G. and Freeh, V and Tynan, R}
}
@proceedings {140,
	title = {An exploratory study of ideology and trust in open source development groups},
	year = {2001},
	note = {"To do this, we scanned information in the public domain to develop a preliminary understanding of the context. We then identified 48 OS projects using www.sourceforge.net, an on-line open source meeting place that provides information on open source efforts and hosts code repositories. Projects were selected to represent a variety of types of software, licenses, and group sizes. We contacted administrators or project leaders and asked them to complete open-ended questionnaires regarding their experience and views on open source development."},
	abstract = {Open source (OS) software development has been the subject of heightened interest among organizational scholars because of the novel social coordination practices that signal a departure from traditional proprietary software development. We propose that trust among group members in open source development groups (OSDGs) plays a key role in facilitating their success. Trust is important in this context because of the risk of opportunistic behavior by other members who volunteers may not have met and may never expect to meet, as well as a lack of explicit market contracts or common organizational affiliation. The open source community is differentiated by a coherent ideology that emphasizes a distinct set of interrelated norms, beliefs, and values. These serve to create incentives for open source practices that eschew conventional transactional norms in favor of a gift culture and a focus on reputations. In this study, we primarily examine the role of the shared ideology in enabling the development of affective and cognitive trust in OSDGs. We further examine how this trust leads to desired outcomes - group efficacy and effectiveness. The study is based on exploratory interviews, examination of archival records and a preliminary survey to understand the specific conditions of open source efforts on which this work-in-progress report is based. This is being followed-up by empirical testing of our research model through a survey of a broad variety of OSDGs. This study would contribute to a clarification of the role of trust in enabling software groups to work effectively and help to understand the bases of trust in ideology-permeated groups.},
	keywords = {contributors, groups, ideology, license analysis, licenses, metadata, open source, sourceforge, Survey, team, team size, teams, trust, types},
	doi = {10.1.1.104.638},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.104.638\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/stewartGosain2001.pdf},
	author = {Katherine Stewart and Gosain, S.}
}
