@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}
}
@book {1417,
	title = {Internet Success: A Study of Open Source Software Commons},
	year = {2012},
	note = {Supplementary material available: http://www.umass.edu/opensource/schweik/supplementary.html},
	publisher = {MIT Press},
	organization = {MIT Press},
	type = {Book},
	address = {Cambridge, MA, USA},
	keywords = {flossmole, srda},
	url = {http://tinyurl.com/d3e4545},
	author = {Schweik, C. M. and English, R.}
}
@conference {1256,
	title = {Analyzing Leadership Dynamics in Distributed Group Communication},
	booktitle = {2010 43rd Hawaii International Conference on System Sciences (HICSS 2010)},
	year = {2010},
	note = {"Our analysis examines the communication patterns in two FLOSS development projects, Fire and Gaim"
"These data were imported into a database to allow automated analysis. The Fire data set includes about 1,800 events in the user email list, 7,800 messages in the developer venues, and 1,300 events in the combined trackers, spanning a period of 54 months. The significantly larger Gaim data set included over 41,000 events in the user forum, over 30,000 events in the developer venues, and about 20,000 events in the trackers, generated over 78 months."
"The dynamic network analysis was performed using a scientific workflow tool, Taverna Workbench"},
	pages = {1 - 10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Honolulu, Hawaii, USA},
	abstract = {We apply social network analysis (SNA) to examine the dynamics of leadership in distributed groups, specifically Free/Libre Open Source Software development projects, and its relation to group performance. Based on prior work on leadership in distributed groups, we identify leaders with those who make the highest level of contribution to the group and assess the degree of leadership by measuring centralization of communications. We compare the dynamics of leadership in two FLOSS projects, one more and one less effective. We find that in both projects, centralization was higher in developer-oriented communications venues than in user-oriented venues, suggesting higher degrees of leadership in developer venues. However, we do not find a consistent relation between centralization and effectiveness. We suggest that SNA can instead be useful for identifying interesting periods in the history of the project, e.g., periods where the leadership of the project is in transition.},
	keywords = {core, DYNAMICS, email, email archives, fire, flossmole, gaim, leadership, mailing list, project success, social network analysis, srda},
	isbn = {978-1-4244-5509-6},
	doi = {10.1109/HICSS.2010.62},
	attachments = {https://flosshub.org/sites/flosshub.org/files/07-06-02.pdf},
	author = {Kevin Crowston and Andrea Wiggins and Howison, James}
}
@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}
}
@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}
}
@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 {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 {1207,
	title = {Cross-repository data linking with RDF and OWL},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	note = {non-experimental},
	month = {2009},
	pages = {15-22},
	abstract = {This paper provides an approach to the problem of integrating data from multiple research repositories for FLOSS 
data. It introduces semantic web technologies (RDF, OWL, OWL-DL reasoners and SPARQL) to argue that these are useful for building shared research infrastructure. The paper illustrates its point by describing parts of an ontology developed for the integration and analysis of project communications drawn from FLOSSmole, the Notre Dame archive and direct collection of data. RDF vocabularies provide a way to agree on things we agree about as well as a way to be clearer about ways in which we disagree.},
	keywords = {data integration, flossmole, forges, integration, owl, RDF, repositories, semantic, semantic Web, sparql, srda},
	attachments = {https://flosshub.org/sites/flosshub.org/files/howison2008.pdf},
	author = {Howison, James}
}
@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.}
}
@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.}
}
