@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.}
}
@conference {966,
	title = {Replaying IDE interactions to evaluate and improve change prediction approaches},
	booktitle = {2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)},
	year = {2010},
	pages = {161 - 170},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cape Town, South Africa},
	abstract = {Change prediction helps developers by recommending program entities that will have to be changed alongside the entities currently being changed. To evaluate their accuracy, current change prediction approaches use data from versioning systems such as CVS or SVN. These data sources provide a coarse-grained view of the development history that flattens the sequence of changes in a single commit. They are thus not a valid basis for evaluation in the case of development-style prediction, where the order of the predictions has to match the order of the changes a developer makes. We propose a benchmark for the evaluation of change prediction approaches based on fine-grained change data recorded from IDE usage. Moreover, the change prediction approaches themselves can use the more accurate data to fine-tune their prediction. We present an evaluation procedure and use it on several change prediction approaches, both novel and from the literature, and report on the results.},
	keywords = {cbse, change based software evolution, change prediction, changes, commit, cvs, development history, eclipseeye, ide, mylyn, spyware, svn},
	isbn = {978-1-4244-6802-7},
	doi = {10.1109/MSR.2010.5463278},
	attachments = {https://flosshub.org/sites/flosshub.org/files/161Robbes2010changePrediction.pdf},
	author = {Robbes, Romain and Pollet, Damien and Lanza, Michele}
}
@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}
}
@conference {941,
	title = {Evolution of the core team of developers in libre software 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 = {167 - 170},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {In many libre (free, open source) software projects, most of the development is performed by a relatively small number of persons, the "core team". The stability and permanence of this group of most active developers is of great importance for the evolution and sustainability of the project. In this position paper we propose a quantitative methodology to study the evolution of core teams by analyzing information from source code management repositories. The most active developers in different periods are identified, and their activity is calculated over time, looking for core team evolution patterns.},
	keywords = {core, cvs, cvsanaly, developers, evolution, gimp, scm},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069497},
	attachments = {https://flosshub.org/sites/flosshub.org/files/167core-evolution.pdf},
	author = {Gregorio Robles and Jesus M. Gonzalez-Barahona and Herraiz, Israel}
}
@conference {944,
	title = {Learning from defect removals},
	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 = {179 - 182},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {Recent research has tried to identify changes in source code repositories that fix bugs by linking these changes to reports in issue tracking systems. These changes have been traced back to the point in time when they were previously modified as a way of identifying bug introducing changes. But we observe that not all changes linked to bug tracking systems are fixing bugs; some are enhancing the code. Furthermore, not all fixes are applied at the point in the code where the bug was originally introduced. We flesh out these observations with a manual review of several software projects, and use this opportunity to see how many defects are in the scope of static analysis tools.},
	keywords = {bug fixing, bugzilla, change management, cherry, cvs, eclipse, groovy, launching, source code, svn, text editor},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069500},
	attachments = {https://flosshub.org/sites/flosshub.org/files/179LearnFromDefects-MSR09.pdf},
	author = {Ayewah, Nathaniel and Pugh, William}
}
@conference {926,
	title = {Tracking concept drift of software projects using defect prediction quality},
	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 = {51 - 60},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {Defect prediction is an important task in the mining of software repositories, but the quality of predictions varies strongly within and across software projects. In this paper we investigate the reasons why the prediction quality is so fluctuating due to the altering nature of the bug (or defect) fixing process. Therefore, we adopt the notion of a concept drift, which denotes that the defect prediction model has become unsuitable as set of influencing features has changed - usually due to a change in the underlying bug generation process (i.e., the concept). We explore four open source projects (Eclipse, OpenOffice, Netbeans and Mozilla) and construct file-level and project-level features for each of them from their respective CVS and Bugzilla repositories. We then use this data to build defect prediction models and visualize the prediction quality along the time axis. These visualizations allow us to identify concept drifts and - as a consequence - phases of stability and instability expressed in the level of defect prediction quality. Further, we identify those project features, which are influencing the defect prediction quality using both a tree induction-algorithm and a linear regression model. Our experiments uncover that software systems are subject to considerable concept drifts in their evolution history. Specifically, we observe that the change in number of authors editing a file and the number of defects fixed by them contribute to a project{\textquoteright}s concept drift and therefore influence the defect prediction quality. Our findings suggest that project managers using defect prediction models for decision making should be aware of the actual phase of stability or instability due to a potential concept drift.},
	keywords = {bugzilla, cvs, defect prediction, eclipse, mozilla, netbeans, openoffice},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069480},
	attachments = {https://flosshub.org/sites/flosshub.org/files/51MSR2009_0111_Ekanayake_Jayalath.pdf},
	author = {Ekanayake, Jayalath and Tappolet, Jonas and Gall, Harald C. and Bernstein, Abraham}
}
@article {denBesten2008316,
	title = {The allocation of collaborative efforts in open-source software},
	journal = {Information Economics and Policy},
	volume = {20},
	number = {4},
	year = {2008},
	note = {"we have selected a set of 10 large open-source projects"
apache, cvs, gaim, gcc, ghostscript, mozilla, netbsd, openssh, postgresql, python
"Our data were extracted from logs of development activity generated by software version control systems. For each project in the selection, we extracted CVS development logs"
"We notably computed for each file in the sample, and for each month in its history, the number of distinct maintainers that had committed a change during that month, and the number of commits, the blocks of code addition, each file had received during that month."
"other variables used in the regressions are proxies for the size, age, and granularity of files; the size of a file is represented as its number of lines of code (LOCs), its age by its creation date (Youth), and its granularity by the number of functions it contains."},
	pages = {316 - 322},
	abstract = {The article investigates the allocation of collaborative efforts among core developers (maintainers) of open-source software by analyzing on-line development traces (logs) for a set of 10 large projects. Specifically, we investigate whether the division of labor within open-source projects is influenced by characteristics of software code. We suggest that the collaboration among maintainers tends to be influenced by different measures of code complexity. We interpret these findings by providing preliminary evidence that the organization of open-source software development would self-adapt to characteristics of the code base, in a {\textquoteright}stigmergic{\textquoteright} manner.},
	keywords = {age, apache, complexity, cvs, division of labor, functions, gaim, gcc, ghostscript, lines of code, loc, log files, mozilla, netbsd, openssh, postgresql, python, revision control, scm, size, source code, Stigmergy, version control},
	issn = {0167-6245},
	doi = {DOI: 10.1016/j.infoecopol.2008.06.003},
	url = {http://www.sciencedirect.com/science/article/B6V8J-4SSG4PN-1/2/88b3824c30a31c18929d8a5ca6d64f62},
	author = {den Besten, Matthijs and Jean-Michel Dalle and Galia, Fabrice}
}
@conference {Wermelinger:2008:AEE:1370750.1370783,
	title = {Analyzing the evolution of eclipse plugins},
	booktitle = {Proceedings of the 2008 international working conference on Mining software repositories},
	series = {MSR {\textquoteright}08},
	year = {2008},
	pages = {133{\textendash}136},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Eclipse is a good example of a modern component-based complex system that is designed for long-term evolution, due to its architecture of reusable and extensible components. This paper presents our preliminary results about the evolution of Eclipse{\textquoteright}s architecture, based on a lightweight and scalable analysis of the metadata in Eclipse{\textquoteright}s sources. We find that the development of Eclipse follows a systematic process: most architectural changes take place in milestones, and maintenance releases only make exceptional changes to component dependencies. We also found a stable architectural core that remains since the first release.},
	keywords = {architectural evolution, cvs, eclipse, metadata, msr challenge, releases, source code},
	isbn = {978-1-60558-024-1},
	doi = {http://doi.acm.org/10.1145/1370750.1370783},
	url = {http://doi.acm.org/10.1145/1370750.1370783},
	author = {Wermelinger, Michel and Yu, Yijun}
}
@conference {1211,
	title = {Are FLOSS developers committing to CVS/SVN as much as  they are talking in mailing lists? Challenges for Integrating  data from Multiple Repositories},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	month = {09/2008},
	pages = {49-54},
	abstract = {This paper puts forward a framework for investigating Free and Open Source Software (F/OSS) developers activities in both source code and mailing lists repositories. We used data dumps of fourteen pro jects from the FLOSSMetrics (FM) retrieval system. Our intentions are (i) to present a possible methodology, its advantages and disadvantages which can benefit future researchers using some aspects of the FM retrieval system{\textquoteright}s data dumps, and (ii) discuss our initial research results on the contributions developers make to both coding and lists activities.},
	keywords = {cvs, cvsanaly, developers, email, email archives, flossmetrics, mailing list, mlstats, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/49-542008.pdf},
	author = {Sowe, Sulayman K. and Samoladas, Ioannis and Ioannis Stamelos and Lefteris Angelis}
}
@conference {1206,
	title = {Collecting data from distributed FOSS projects},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	note = {"We selected three projects from the initial set of projects: Linux 2.6, an operating system kernel, gimp, a graphics program, and Blender, a 3d content creation suite."
"To acquire data from each data source, we wrote special programs based on the earlier prototypes....The first program extracts information from mailing list archives....The second program obtains bug reports from bug tracking systems....The third program obtains source code from network-accessible version control systems and runs metric calculations on it."},
	month = {2009},
	pages = {8-13},
	abstract = {A key trait of Free and Open Source Software (foss) development is its distributed nature. Nevertheless, two project-level operations, the fork and the merge of program code, are among the least well understood events in the lifespan of a foss project. Some projects have explicitly adopted these operations as the primary means of concurrent development. In this study, we examine the effect of highly distributed software development, as found in the Linux kernel project, on collection and modelling of software development data. We find that distributed development calls for sophisticated temporal modelling techniques where several versions of the source code tree can exist at once. Attention must be turned towards the methods of quality assurance and peer review that projects employ to manage these parallel source trees. Our analysis indicates that two new metrics, fork rate and merge rate, could be useful for determining the role of distributed version control systems in foss projects. The study 
presents a preliminary data set consisting of version control and mailing list data. },
	keywords = {bitkeeper, bug tracking system, cvs, distributed, email archive, fork rate, git, life cycle, linux, linux kernel, mailing list, merge rate, subversion, svn, version control},
	attachments = {https://flosshub.org/sites/flosshub.org/files/fagerholm.pdf},
	author = {Fagerholm, Fabian and Taina, Juha}
}
@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}
}
@conference {Rigby:2008:OSS:1368088.1368162,
	title = {Open source software peer review practices: a case study of the apache server},
	booktitle = {Proceedings of the 30th International Conference on Software Engineering (ICSE 2008)},
	series = {ICSE {\textquoteright}08},
	year = {2008},
	note = {http://faculty.salisbury.edu/~xswang/Research/Papers/SERelated/testing/p541-rigby.pdf},
	pages = {541{\textendash}550},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Peer review is seen as an important quality assurance mechanism in both industrial development and the open source software (OSS) community. The techniques for performing inspections have been well studied in industry; in OSS development, peer reviews are less well understood. We examine the two peer review techniques used by the successful, mature Apache server project: review-then-commit and commit-then-review. Using archival records of email discussion and version control repositories, we construct a series of metrics that produces measures similar to those used in traditional inspection experiments. Specifically, we measure the frequency of review, the level of participation in reviews, the size of the artifact under review, the calendar time to perform a review, and the number of reviews that find defects. We provide a comparison of the two Apache review techniques as well as a comparison of Apache review to inspection in an industrial project. We conclude that Apache reviews can be described as (1) early, frequent reviews (2) of small, independent, complete contributions (3) conducted asynchronously by a potentially large, but actually small, group of self-selected experts (4) leading to an efficient and effective peer review technique.},
	keywords = {apache, cvs, email, inspection, mining software repositories (email), open source software, peer review, version control},
	isbn = {978-1-60558-079-1},
	doi = {10.1145/1368088.1368162},
	url = {http://doi.acm.org/10.1145/1368088.1368162},
	attachments = {https://flosshub.org/sites/flosshub.org/files/p541-rigby.pdf},
	author = {Peter C. Rigby and Daniel M. German and Storey, Margaret-Anne}
}
@conference {WeiBgerber:2008:SPG:1370750.1370767,
	title = {Small patches get in!},
	booktitle = {Proceedings of the 2008 international working conference on Mining software repositories},
	series = {MSR {\textquoteright}08},
	year = {2008},
	month = {05/2008},
	pages = {67{\textendash}76},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {While there is a considerable amount of research on analyzing the change information stored in software repositories, only few researcher have looked at software changes contained in email archives in form of patches. In this paper we look at the email archives of two open source projects and answer questions like the following: How many emails contain patches? How long does it take for a patch to be accepted? Does the size of the patch influence its chances to be accepted or the duration until it gets accepted? Obviously, the answers to these questions can be helpful for the authors of patches, in particular because some of the answers are surprising.},
	keywords = {case study, cvs, email, email archives, flac, mailing list, openafs, patch acceptance, patches, revision control, scm},
	isbn = {978-1-60558-024-1},
	doi = {http://doi.acm.org/10.1145/1370750.1370767},
	url = {http://doi.acm.org/10.1145/1370750.1370767},
	attachments = {https://flosshub.org/sites/flosshub.org/files/p67-weissgerber.pdf},
	author = {Wei{\ss}gerber, Peter and Neu, Daniel and Diehl, Stephan}
}
@conference {Siy:2008:SDW:1370750.1370784,
	title = {Summarizing developer work history using time series segmentation: challenge report},
	booktitle = {Proceedings of the 2008 international working conference on Mining software repositories},
	series = {MSR {\textquoteright}08},
	year = {2008},
	month = {05/2008},
	pages = {137{\textendash}140},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Temporal segmentation partitions time series data with the intent of producing more homogeneous segments. It is a technique used to preprocess data so that subsequent time series analysis on individual segments can detect trends that may not be evident when performing time series analysis on the entire dataset.

This technique allows data miners to partition a large dataset without making any assumption of periodicity or any other a priori knowledge of the dataset{\textquoteright}s features.

We investigate the insights that can be gained from the application of time series segmentation to software version repositories. Software version repositories from large projects contain on the order of hundreds of thousands of timestamped entries or more. It is a continuing challenge to aggregate such data so that noise is reduced and important characteristics are brought out.

In this paper, we present a way to summarize developer work history in terms of the files they have modified over time by segmenting the CVS change data of individual Eclipse developers. We show that the files they modify tends to change significantly over time though most of them tend to work within the same directories.},
	keywords = {contributions, cvs, developers, eclipse, msr challenge, temporal segmentation, time series, work history},
	isbn = {978-1-60558-024-1},
	doi = {http://doi.acm.org/10.1145/1370750.1370784},
	url = {http://doi.acm.org/10.1145/1370750.1370784},
	author = {Siy, Harvey and Chundi, Parvathi and Subramaniam, Mahadevan}
}
@conference {1003,
	title = {Evaluating the Harmfulness of Cloning: A Change Based Experiment},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {18 - 18},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Cloning is considered a harmful practice for software maintenance because it requires consistent changes of the entities that share a cloned fragment. However this claim has not been refuted or confirmed empirically. Therefore, we have developed a prototype tool, CloneTracker, in order to study the rate of change of applications containing clones. This paper describes CloneTracker and illustrates its preliminary application on a case study.},
	keywords = {ccfinder, clone, clones, clonetracker, cloning, ctags, cvs, dnsjava, maintenance, scm, source code},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.8},
	author = {Lozano, Angela and Wermelinger, Michel and Nuseibeh, Bashar}
}
@conference {1017,
	title = {Forecasting the Number of Changes in Eclipse Using Time Series Analysis},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {32 - 32},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {In order to predict the number of changes in the following months for the project Eclipse, we have applied a statistical (non-explanatory) model based on time series analysis. We have obtained the monthly number of changes in the CVS repository of Eclipse, using the CVSAnalY tool. The input to our model was the filtered series of the number of changes per month, and the output was the number of changes per month for the next three months. Then we aggregated the results of the three months to obtain the total number of changes in the given period in the challenge.},
	keywords = {change management, cvs, cvsanaly, eclipse, prediction},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.10},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300032.pdf},
	author = {Herraiz, Israel and Jesus M. Gonzalez-Barahona and Gregorio Robles}
}
@conference {1001,
	title = {Identifying Changed Source Code Lines from Version Repositories},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {14 - 14},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Observing the evolution of software systems at different levels of granularity has been a key issue for a number of studies, aiming at predicting defects or at studying certain phenomena, such as the presence of clones or of crosscutting concerns. Versioning systems such as CVS and SVN, however, only provide information about lines added or deleted by a contributor: any change is shown as a sequence of additions and deletions. This provides an erroneous estimate of the amount of code changed.

This paper shows how the evolution of changes at source code line level can be inferred from CVS repositories, by combining information retrieval techniques and the Levenshtein edit distance. The application of the proposed approach to the ArgoUML case study indicates a high precision and recall.},
	keywords = {argouml, cvs, levenshtein, scm, source code},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.14},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300014.pdf},
	author = {Canfora, Gerardo and Cerulo, Luigi and Di Penta, Massimiliano}
}
@conference {1013,
	title = {Impact of the Creation of the Mozilla Foundation in the Activity of Developers},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {28 - 28},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {During 2003, the Mozilla project transitioned from company-promoted (sponsored by AOL) to community-promoted (sponsored by the Mozilla Foundation). What happened to the group of developers during this transition? There was any significant impact on its activity or composition? To answer these questions, we have performed an analysis of the CVS repository of Mozilla, using the CVSAnalY tool, finding little on activity, but dramatic changes in the the composition of the development team.},
	keywords = {cvs, cvsanaly, developers, mining challenge, mozilla, msr challenge, revision history},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.15},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300028.pdf},
	author = {Jesus M. Gonzalez-Barahona and Gregorio Robles and Herraiz, Israel}
}
@conference {997,
	title = {Mining CVS Repositories to Understand Open-Source Project Developer Roles},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {8 - 8},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {This paper presents a model to represent the interactions of distributed open-source software developers and utilizes data mining techniques to derive developer roles. The model is then applied on case studies of two open-source projects, ORAC-DR and Mediawiki with encouraging results.},
	keywords = {cvs, developer interaction, developers, mediawiki, orac-dr, roles, scm, source code},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.19},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300008.pdf},
	author = {Yu, Liguo and Ramaswamy, Srini}
}
@conference {1000,
	title = {Mining Workspace Updates in CVS},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {11 - 11},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {The version control archive CVS records not only all changes in a project but also activity data such as when developers create or update their workspaces. Furthermore, CVS records when it has to integrate changes because of parallel development. In this paper, we analyze the CVS activity data of four large open-source projects GCC, JBOSS, JEDIT, and PYTHON to investigate parallel development: What is the degree of parallel development? How frequently do conflicts occur during updates and how are they resolved? How do we identify changes that contain integrations?},
	keywords = {change management, cvs, developers, gcc, jboss, jedit, python, workspaces},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.22},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300011.pdf},
	author = {Zimmermann, Thomas}
}
@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 {1004,
	title = {Release Pattern Discovery via Partitioning: Methodology and Case Study},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {19 - 19},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {The development of Open Source systems produces a variety of software artifacts such as source code, version control records, bug reports, and email discussions. Since the development is distributed across different tool environments and developer practices, any analysis of project behavior must be inferred from whatever common artifacts happen to be available. In this paper, we propose an approach to characterizing a project{\textquoteright}s behavior around the time of major and minor releases; we do this by partitioning the observed activities, such as artifact check-ins, around the dates of major and minor releases, and then look for recognizable patterns. We validate this approach by means of a case study on the MySQL database system; in this case study, we found patterns which suggested MySQL was behaving consistently within itself. These patterns included testing and documenting that took place more before a release than after and that the rate of source code changes dipped around release time.},
	keywords = {bitkeeper, bt2csv, cvs, evolution, mysql, releases, revision history, scm, softchange, version control},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.28},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300019.pdf},
	author = {Hindle, Abram and Godfrey, Michael W. and Holt, Richard C.}
}
@conference {998,
	title = {Visual Data Mining in Software Archives to Detect How Developers Work Together},
	booktitle = {Fourth International Workshop on Mining Software RepositoriesFourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {9 - 9},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Analyzing the check-in information of open source software projects which use a version control system such as CVS or SUBVERSION can yield interesting and important insights into the programming behavior of developers. As in every major project tasks are assigned to many developers, the development must be coordinated between these programmers.

This paper describes three visualization techniques that help to examine how programmers work together, e.g. if they work as a team or if they develop their part of the software separate from each other. Furthermore, phases of stagnation in the lifetime of a project can be uncovered and thus, possible problems are revealed.

To demonstrate the usefulness of these visualization techniques we performed case studies on two open source projects. In these studies interesting patterns of developers? behavior, e.g. the specialization on a certain module can be observed. Moreover, modules that have been changed by many developers can be identified as well as such ones that have been altered by only one programmer.},
	keywords = {change, coordination, cvs, developers, junit, modules, scm, source code, svn, teams, tomcat, visualization},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.34},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300009.pdf},
	author = {Weissgerber, Peter and Pohl, Mathias and Burch, Michael}
}
@article {120,
	title = {Applying Social Network Analysis Techniques to Community-Driven Libre Software Projects},
	journal = {International Journal of Information Technology and Web Engineering},
	volume = {1},
	number = {3},
	year = {2006},
	abstract = {Source code management repositories of large, long-lived libre (free, open source) software projects can be a source of valuable data about the organizational structure, evolution, and knowledge exchange in the corresponding development communities. Unfortunately, the sheer volume of the available information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. Such methodology is proposed in this article, based on well known concepts from the social networks analysis field, which can be used to study the relationships among developers and how they collaborate in different parts of a project. It is also applied to data mined from some well known projects (Apache, GNOME, and KDE), focusing on the characterization of their collaboration network architecture. These cases help to understand the potentials of the methodology and how it is applied, but also shows some relevant results which open new paths in the understanding of the informal organization of libre software development communities.},
	keywords = {apache, conway{\textquoteright}s law, cvs, gnome, kde, scm, social network analysis, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/06_Lopez_ijitwe_sna.pdf},
	author = {L{\'o}pez-Fern{\'a}ndez, L. and Gregorio Robles and Jesus M. Gonzalez-Barahona and Herraiz, I.}
}
@conference {D{\textquoteright}Ambros:2006:AER:1137983.1138029,
	title = {Applying the evolution radar to PostgreSQL},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {177{\textendash}178},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	keywords = {cvs, documentation, evolution, evolution radar, logical coupling, makefile, mining challenge, msr challenge, postgresql, re-engineering, refactoring, release history, rhdb, source code, version control, visualization},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138029},
	url = {http://doi.acm.org/10.1145/1137983.1138029},
	attachments = {https://flosshub.org/sites/flosshub.org/files/177ApplyingEvolution.pdf},
	author = {D{\textquoteright}Ambros, Marco and Lanza, Michele}
}
@conference {Beyer:2006:CVA:1137983.1138023,
	title = {Co-change visualization applied to PostgreSQL and ArgoUML: (MSR challenge report)},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {165{\textendash}166},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Co-change visualization is a method to recover the subsystem structure of a software system from the version history, based on common changes and visual clustering. This paper presents the results of applying the tool CCVisu which implements co-change visualization, to the two open-source software systems PostgreSQL and ArgoUML The input of the method is the co-change graph, which can be easily extracted by CCVisu from a Cvs version repository. The output is a graph layout that places software artifacts that were often commonly changed at close positions, and artifacts that were rarely co-changed at distant positions. This property of the layout is due to the clustering property of the underlying energy model,which evaluates the quality of a produced layout. The layout can be displayed on the screen, or saved to a file in SVG or VRML format.},
	keywords = {argouml, ccvisu, cvs, force-directed graph layout, graph, mining challenge, msr challenge, postgresql, software clustering, software structure analysis, software visualization, version control, visualization},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138023},
	url = {http://doi.acm.org/10.1145/1137983.1138023},
	attachments = {https://flosshub.org/sites/flosshub.org/files/165Co-Change.pdf},
	author = {Beyer, Dirk}
}
@conference {682,
	title = {Collaborative Maintenance in Large Open-Source Projects},
	booktitle = {OSS2006: Open Source Systems (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing},
	year = {2006},
	pages = {233 - 244},
	publisher = {Springer},
	organization = {Springer},
	abstract = {The paper investigates collaborative work among maintainers of open source software by analyzing the logs of a set of 10 large projects. We inquire whether teamwork can be influenced by several characteristics of code. Preliminary results suggest that collaboration among maintainers in most large open-source projects seems to be positively influenced by file vintage and by Halstead volume of files, and negatively by McCabe complexity and size measured in SLOCs. These results could be consistent with an increased attractivity of files created early in the history of a project, and with maintainers being less attracted by more verbose code and by more complex code, although in this last case it might also reflect the fact that more complex files would be de facto more exclusive in terms of maintenance.
},
	keywords = {apache, COLLABORATION, complexity, cvs, gaim, gcc, ghostscript, halstead, lines of code, loc, mccabe, mozilla, netbsd, openssh, postgresql, python, sloc},
	doi = {http://dx.doi.org/10.1007/0-387-34226-5_23},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Collaborative\%20Maintenance.pdf},
	author = {den Besten, Matthijs and Jean-Michel Dalle and Galia, Fabrice}
}
@conference {686,
	title = {Contributor Turnover in Libre Software Projects},
	booktitle = {OSS2006: Open Source Systems (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing},
	year = {2006},
	pages = {273 - 286},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A common problem that management faces in software companies is the high instability of their staff. In libre (free, open source) software projects, the permanence of developers is also an open issue, with the potential of causing problems amplified by the self-organizing nature that most of them exhibit. Hence, human resources in libre software projects are even more difficult to manage: developers are in most cases not bound by a contract and, in addition, there is not a real management structure concerned about this problem. This raises some interesting questions with respect to the composition of development teams in libre software projects, and how they evolve over time. There are projects lead by their original founders (some sort of {\textquotedblleft}code gods{\textquotedblright}), while others are driven by several different developer groups over time (i.e. the project {\textquotedblleft}regenerates{\textquotedblright} itself). 
In this paper, we propose a quantitative methodology, based on the analysis of the activity in the source code management repositories, to study how these processes (developers leaving, developers joining) affect libre software projects. The basis of it is the analysis of the composition of the core group, the group of developers most active in a project, for several time lapses. We will apply this methodology to several large, well-known libre software projects, and show how it can be used to characterize them. In addition, we will discuss the lessons that can be learned, and the validity of our proposal.
},
	keywords = {apache, committers, core, cvs, cvsanaly, developers, evolution, freebsd, gimp, gnome, kde, mono, mozilla},
	doi = {http://dx.doi.org/10.1007/0-387-34226-5_28},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Contributor\%20Turnover\%20in\%20Libre\%20Software\%20Projects.pdf},
	author = {Gregorio Robles and Gonzalez-Barahona, Jesus}
}
@conference {D{\textquoteright}Ambros:2006:ERV:1137983.1137992,
	title = {The evolution radar: visualizing integrated logical coupling information},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {26{\textendash}32},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In software evolution research logical coupling has extensively been used to recover the hidden dependencies between source code artifacts. They would otherwise go lost because of the file-based nature of current versioning systems. Previous research has dealt with low-level couplings between files, leading to an explosion of data to be analyzed, or has abstracted the logical couplings to module level, leading to a loss of detailed information. In this paper we propose a visualization-based approach which integrates both file-level and module-level logical coupling information. This not only facilitates an in-depth analysis of the logical couplings at all granularity levels, it also leads to a precise characterization of the system modules in terms of their logical coupling dependencies.},
	keywords = {change management, cvs, evolution, logical coupling, mozilla, scm, source code, thunderbird, tinderbox, visualization},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1137992},
	url = {http://doi.acm.org/10.1145/1137983.1137992},
	attachments = {https://flosshub.org/sites/flosshub.org/files/26TheEvolutionRadar.pdf},
	author = {D{\textquoteright}Ambros, Marco and Lanza, Michele and Lungu, Mircea}
}
@conference {Jiang:2006:EEC:1137983.1138030,
	title = {Examining the evolution of code comments in PostgreSQL},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {179{\textendash}180},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {It is common, especially in large software systems, for developers to change code without updating its associated comments due to their unfamiliarity with the code or due to time constraints. This is a potential problem since outdated comments may confuse or mislead developers who perform future development. Using data recovered from CVS, we study the evolution of code comments in the PostgreSQL project. Our study reveals that over time the percentage of commented functions remains constant except for early fluctuation due to the commenting style of a particular active developer.},
	keywords = {code comments, comments, cvs, evolution, functions, maintenance, mining challenge, msr challenge, postgresql, software evolution, software maintenance, source code},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138030},
	url = {http://doi.acm.org/10.1145/1137983.1138030},
	attachments = {https://flosshub.org/sites/flosshub.org/files/179ExaminingTheEvolution.pdf},
	author = {Zhen Ming Jiang and Hassan, Ahmed E.}
}
@conference {Askari:2006:ITE:1137983.1138013,
	title = {Information theoretic evaluation of change prediction models for large-scale software},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {126{\textendash}132},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In this paper, we analyze the data extracted from several open source software repositories. We observe that the change data follows a Zipf distribution. Based on the extracted data, we then develop three probabilistic models to predict which files will have changes or bugs. The first model is Maximum Likelihood Estimation (MLE), which simply counts the number of events, i.e., changes or bugs, that happen to each file and normalizes the counts to compute a probability distribution. The second model is Reflexive Exponential Decay (RED) in which we postulate that the predictive rate of modification in a file is incremented by any modification to that file and decays exponentially. The third model is called RED-Co-Change. With each modification to a given file, the RED-Co-Change model not only increments its predictive rate, but also increments the rate for other files that are related to the given file through previous co-changes. We then present an information-theoretic approach to evaluate the performance of different prediction models. In this approach, the closeness of model distribution to the actual unknown probability distribution of the system is measured using cross entropy. We evaluate our prediction models empirically using the proposed information-theoretic approach for six large open source systems. Based on this evaluation, we observe that of our three prediction models, the RED-Co-Change model predicts the distribution that is closest to the actual distribution for all the studied systems.},
	keywords = {bugs, change analysis, cvs, evaluation approach, file, freebsd, information theory, kde, koffice, log files, netbsd, openbsd, postgresql, prediction, prediction models, scm, source code},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138013},
	url = {http://doi.acm.org/10.1145/1137983.1138013},
	attachments = {https://flosshub.org/sites/flosshub.org/files/126InformationTheoretic.pdf},
	author = {Askari, Mina and Holt, Ric}
}
@conference {1094,
	title = {Knowledge Reuse in Open Source Software: An Exploratory Study of 15 Open Source Projects},
	booktitle = {Proceedings of the 38th Annual Hawaii International Conference on System Sciences},
	year = {2006},
	note = {"In a first step, we asked developers of different open source projects to respond to a very short web-based survey."...
"In a second step, we started with gathering data from 15 projects, including interviews. In parallel, the source code, CVS comments and to a certain extent email communication was analyzed to receive a dynamic, and within the limits of the method, complete picture of knowledge reuse practices."
"Projects included games (Adonthell, FlightGear, Xboard), text processing (Abiword), a GNU/Linux desktop (Xfce4), an instant messenger client (Miranda), fax software (HylaFAX), a content management system (Tiki/CMS Groupware), encryption software (OpenSSL), a collaborative music system (iRATE Radio), file sharing networks (GNUnet, Mnet, Freenet), a mailing list manager (Mailman), and an mp3 encoder (Lame)."
"Our data sources included interviews with key developers, source code, CVS comments, mailing lists and various Internet resources"},
	month = {2006},
	pages = {1-10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Big Island, HI, USA},
	abstract = {To date, there is no investigation of knowledge reuse in open source software projects. This paper focuses on the forms of knowledge reuse and the factors impacting on them. It develops a theory drawn from data of 15 open source software projects and finds that the effort to search, integrate and maintain external knowledge influences the form of knowledge to be reused. Implications for firms and innovation research are discussed.},
	keywords = {cvs, email, knowledge reuse, lines of code, loc, source code, Survey},
	doi = {10.1109/HICSS.2005.378},
	url = {http://www.computer.org/csdl/proceedings/hicss/2005/2268/07/22680198b-abs.html},
	author = {von Krogh, G. and Spaeth, S. and Haefliger, S.}
}
@conference {Breu:2006:MEC:1137983.1138006,
	title = {Mining eclipse for cross-cutting concerns},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {94{\textendash}97},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Software may contain functionality that does not align with its architecture. Such cross-cutting concerns do not exist from the beginning but emerge over time. By analysing where developers add code to a program, our history-based mining identifies cross-cutting concerns in a two-step process. First, we mine CVS archives for sets of methods where a call to a specific single method was added. In a second step, such simple cross-cutting concerns are combined to complex cross-cutting concerns. To compute these efficiently, we apply formal concept analysis{\textemdash}an algebraic theory. History-based mining scales well: we are the first to report aspects mined from an industrial-sized project like Eclipse. For example, we identified a locking concern that crosscuts 1284 methods.},
	keywords = {aspects, concept analysis, cvs, eclipse, source code},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138006},
	url = {http://doi.acm.org/10.1145/1137983.1138006},
	attachments = {https://flosshub.org/sites/flosshub.org/files/94MiningEclipse.pdf},
	author = {Breu, Silvia and Zimmermann, Thomas and Lindig, Christian}
}
@conference {WeiBgerber:2006:MRA:1137983.1138028,
	title = {Mining refactorings in ARGOUML},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	note = {"To see if refactorings in ARGOUML have an effect on the occurrence of new bugs and on communication between the developers, we relate the refactorings to bug reports in ISSUEZILLA respectively to mails on the developer mailing list. "},
	pages = {175{\textendash}176},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In this paper we combine the results of our refactoring reconstruc- tion technique with bug, mail and release information to perform process and bug analyses of the ARGOUML CVS archive.},
	keywords = {argouml, bug tracking, bugs, cvs, email, evolution, mining challenge, msr challenge, re-engineering, refactoring, release history},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138028},
	url = {http://doi.acm.org/10.1145/1137983.1138028},
	attachments = {https://flosshub.org/sites/flosshub.org/files/175MiningRefactorings.pdf},
	author = {Wei{\ss}gerber, Peter and Diehl, Stephan and G{\"o}rg, Carsten}
}
@conference {Voinea:2006:MSR:1137983.1138024,
	title = {Mining software repositories with CVSgrab},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {167{\textendash}168},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	keywords = {argouml, cvs, cvsgrab, evolution, mining challenge, msr challenge, postgresql, software visualization, source code, team, visualization},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138024},
	url = {http://doi.acm.org/10.1145/1137983.1138024},
	attachments = {https://flosshub.org/sites/flosshub.org/files/167MiningSoftware.pdf},
	author = {Voinea, Lucian and Telea, Alexandru}
}
@conference {Voinea:2006:OFC:1137983.1137993,
	title = {An open framework for CVS repository querying, analysis and visualization},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {33{\textendash}39},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {We present an open framework for visual mining of CVS software repositories. We address three aspects: data extraction, analysis and visualization. We first discuss the challenges of CVS data extraction and storage, and propose a flexible way to deal with CVS implementation inconsistencies. We next present a new technique to enrich the raw data with information about artifacts showing similar evolution. Finally, we propose a visualization backend and show its applicability on industry-size repositories.},
	keywords = {argouml, cvs, cvsgrab, evolution visualization, postgresql, software visualization},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1137993},
	url = {http://doi.acm.org/10.1145/1137983.1137993},
	author = {Voinea, Lucian and Telea, Alexandru}
}
@conference {1229,
	title = {Regurgitate: Using GIT For F/LOSS Data Collection},
	booktitle = {1st Workshop on Public Data about Software Development (WoPDaSD 2006)},
	year = {2006},
	abstract = {We have created a new tool, regurgitate, for importing CVS repositories into the GIT source code management system. Important features of GIT include great expressiveness in capturing relationships between revisions and across files as well as extremely high-speed processing. These features make GIT an ideal platform for gathering detailed longitudinal metrics for open source projects. The availability of regurgitate facilitates using GIT as an analysis tool for that majority of open source projects that keep their repositories in CVS. In particular, GIT is fast enough that it is practical to replay the entire development history of a project commit-at-a-time, collecting metrics at each step. We demonstrate this process for a simple metric and a collection of benchmark F/LOSS repositories.},
	keywords = {cvs, cvsanaly, git, history, promise, regurgitate, scm},
	attachments = {https://flosshub.org/sites/flosshub.org/files/massey.pdf},
	author = {Bart Massey and Keith Packard}
}
@conference {German:2006:SCP:1137983.1138022,
	title = {A study of the contributors of PostgreSQL},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {163{\textendash}164},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {This report describes some characteristics of the development team of PostgreSQL that were uncovered by analyzing the history of its software artifacts as recorded by the project{\textquoteright}s CVS repository.},
	keywords = {contributions, contributors, cvs, developers, mining challenge, mining software repositories, msr challenge, patches, postgresql, revision history, roles, software evolution, source code, team},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138022},
	url = {http://doi.acm.org/10.1145/1137983.1138022},
	attachments = {https://flosshub.org/sites/flosshub.org/files/163AStudyOf.pdf},
	author = {Daniel M. German}
}
@conference {Canfora:2006:BRK:1137983.1138032,
	title = {Where is bug resolution knowledge stored?},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {183{\textendash}184},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {ArgoUML uses both CVS and Bugzilla to keep track of bug-fixing activities since 1998. A common practice is to reference source code changes resolving a bug stored in Bugzilla by inserting the id number of the bug in the CVS commit notes. This relationship reveals useful to predict code entities impacted by a new bug report.In this paper we analyze ArgoUML software repositories with a tool, we have implemented, showing what are Bugzilla fields that better predict such impact relationship, that is where knowledge about bug resolution is stored.},
	keywords = {argouml, bugs, bugzilla, cvs, impact analysis, mining challenge, mining software repositories, msr challenge, source code},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138032},
	url = {http://doi.acm.org/10.1145/1137983.1138032},
	attachments = {https://flosshub.org/sites/flosshub.org/files/183WhereIsBug.pdf},
	author = {Canfora, Gerardo and Cerulo, Luigi}
}
@article {DBLP:journals/tse/Dinh-TrongB05,
	title = {The FreeBSD Project: A Replication Case Study of Open Source Development},
	journal = {IEEE Trans. Software Eng.},
	volume = {31},
	number = {6},
	year = {2005},
	note = {" we obtained the necessary data from the [FreeBsd] CVS repository, the bug report database, and the e-mail archive. The CVS repository contains all of the code and related documentation that is committed to the project from 1993 until the present. The bug report database contains information describing all reported problems, as well as the status (such as fixed, under test, or open) of each problem. Each bug report is called a PR and assigned a reference number. The e-mail archive contains every e-mail message exchanged between the developers since 1994."

d/l: research.cs.queensu.ca/~ahmed/home/teaching/.../F06/.../free-bsd.pdf},
	pages = {481-494},
	abstract = {Case studies can help to validate claims that open source software development produces higher quality software at lower cost than traditional commercial development. One problem inherent in case studies is external validity{\textemdash}we do not know whether or not results from one case study apply to another development project. We gain or lose confidence in case study results when similar case studies are conducted on other projects. This case study of the FreeBSD project, a long-lived open source project, provides further understanding of open source development. The paper details a method for mining repositories and querying project participants to retrieve key process information. The FreeBSD development process is fairly well-defined with proscribed methods for determining developer responsibilities, dealing with enhancements and defects, and managing releases. Compared to the Apache project, FreeBSD uses 1) a smaller set of core developers{\textemdash}developers who control the code base{\textemdash}that implement a smaller percentage of the system, 2) a larger set of top developers to implement 80 percent of the system, and 3) a more well-defined testing process. FreeBSD and Apache have a similar ratio of core developers to people involved in adapting and debugging the system and people who report problems. Both systems have similar defect densities and the developers are also users in both systems.},
	keywords = {apache, bug reports, contributors, core, cvs, defect density, developers, email, email archive, freebsd, mailing list, scm, source code, users},
	doi = {10.1109/TSE.2005.73},
	attachments = {https://flosshub.org/sites/flosshub.org/files/DinhTrungBieman.pdf},
	author = {Trung T. Dinh-Trong and James M. Bieman}
}
@conference {Fischer:2005:MED:1083142.1083145,
	title = {Mining evolution data of a product family},
	booktitle = {Proceedings of the 2005 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}05},
	year = {2005},
	pages = {12-16},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Diversification of software assets through changing requirements impose a constant challenge on the developers and maintainers of large software systems. Recent research has addressed the mining for data in software repositories of single products ranging from fine- to coarse grained analyses. But so far, little attention has been payed to mining data about the evolution of product families. In this work, we study the evolution and commonalities of three variants of the BSD (Berkeley Software Distribution), a large open source operating system. The research questions we tackle are concerned with how to generate high level views of the system discovering and indicating evolutionary highlights. To process the large amount of data, we extended our previously developed approach for storing release history information to support the analysis of product families. In a case study we apply our approach on data from three different code repositories representing about 8.5GB of data and 10 years of active development.},
	keywords = {bsd, change analysis, change history, cvs, evolution, freebsd, netbsd, openbsd, release history, source code, text mining},
	isbn = {1-59593-123-6},
	doi = {http://doi.acm.org/10.1145/1082983.1083145},
	url = {http://doi.acm.org/10.1145/1082983.1083145},
	attachments = {https://flosshub.org/sites/flosshub.org/files/12MiningEvolution.pdf},
	author = {Fischer, Michael and Oberleitner, Johann and Ratzinger, Jacek and Gall, Harald}
}
@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}
}
@article {springerlink:10.1007/s10606-005-9000-1,
	title = {Socialization in an Open Source Software Community: A Socio-Technical Analysis},
	journal = {Computer Supported Cooperative Work (CSCW)},
	volume = {14},
	year = {2005},
	note = {"I present the results of my analyses of participation patterns in a particular OSS project, used as a case study: Python. More precisely, I use the Open Source Project Browser to qualitatively track and analyze the trajectories of several project members who evolved (or not) into full-fledged participants. This allows me to later discuss how socialization proceeds in an OSS community such as Python"

"Over the course of 2002, I progressively retrieved the entire email archive of python-dev (the developers{\textquoteright} mailing list) and the CVS source tree for the project. "

"I read the entirety of the messages written by these participants and also looked at the software code they produced. There were striking similarities between their progressions over time, which I will de- scribe shortly. Overall the trajectory of these participants reflects successful socialization in Python: an evolution from newcomer to developer."

http://www2.parc.com/csl/members/nicolas/documents/JCSCW-OSS.pdf},
	pages = {323-368},
	publisher = {Springer Netherlands},
	abstract = {Open Source Software (OSS) development is often characterized as a fundamentally new way to develop software. Past analyses and discussions, however, have treated OSS projects and their organization mostly as a static phenomenon. Consequently, we do not know how these communities of software developers are sustained and reproduced over time through the progressive integration of new members. To shed light on this issue I report on my analyses of socialization in a particular OSS community. In particular, I document the relationships OSS newcomers develop over time with both the social and material aspects of a project. To do so, I combine two mutually informing activities: ethnography and the use of software specially designed to visualize and explore the interacting networks of human and material resources incorporated in the email and code databases of OSS. Socialization in this community is analyzed from two perspectives: as an individual learning process and as a political process. From these analyses it appears that successful participants progressively construct identities as software craftsmen, and that this process is punctuated by specific rites of passage. Successful participants also understand the political nature of software development and progressively enroll a network of human and material allies to support their efforts. I conclude by discussing how these results could inform the design of software to support socialization in OSS projects, as well as practical implications for the future of these projects.},
	keywords = {cvs, developers, email, email archive, mailing list, open source project browser, participation, python, scm, source code, team, tools},
	issn = {0925-9724},
	url = {http://dx.doi.org/10.1007/s10606-005-9000-1},
	author = {DUCHENEAUT, NICOLAS}
}
@conference {Kim:2005:UCG:1083142.1083146,
	title = {Using a clone genealogy extractor for understanding and supporting evolution of code clones},
	booktitle = {Proceedings of the 2005 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}05},
	year = {2005},
	pages = {17-23},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Programmers often create similar code snippets or reuse existing code snippets by copying and pasting. Code clones {\textemdash}syntactically and semantically similar code snippets{\textemdash}can cause problems during software maintenance because programmers may need to locate code clones and change them consistently. In this work, we investigate (1) how code clones evolve, (2) how many code clones impose maintenance challenges, and (3) what kind of tool or engineering process would be useful for maintaining code clones.
Based on a formal definition of clone evolution, we built a clone genealogy tool that automatically extracts the history of code clones from a source code repository (CVS). Our clone genealogy tool enables several analyses that reveal evolutionary characteristics of code clones. Our initial results suggest that aggressive refactoring may not be the best solution for all code clones; thus, we propose alternative tool solutions that assist in maintaining code clones using clone genealogy information.},
	keywords = {clone, clone detection, cvs, developers, evolution, maintenance, refactoring, source code},
	isbn = {1-59593-123-6},
	doi = {http://doi.acm.org/10.1145/1082983.1083146},
	url = {http://doi.acm.org/10.1145/1082983.1083146},
	attachments = {https://flosshub.org/sites/flosshub.org/files/17Using.pdf},
	author = {Kim, Miryung and Notkin, David}
}
@conference {Sliwerski:2005:CIF:1083142.1083147,
	title = {When do changes induce fixes?},
	booktitle = {Proceedings of the 2005 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}05},
	year = {2005},
	pages = {24-28},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {As a software system evolves, programmers make changes that sometimes cause problems. We analyze CVS archives for fix-inducing changes{\textemdash}changes that lead to problems, indicated by fixes. We show how to automatically locate fix-inducing changes by linking a version archive (such as CVS) to a bug database (such as BUGZILLA). In a first investigation of the MOZILLA and ECLIPSE history, it turns out that fix-inducing changes show distinct patterns with respect to their size and the day of week they were applied.},
	keywords = {bugzilla, change analysis, cvs, eclipse, evolution, mozilla},
	isbn = {1-59593-123-6},
	doi = {http://doi.acm.org/10.1145/1082983.1083147},
	url = {http://doi.acm.org/10.1145/1082983.1083147},
	attachments = {https://flosshub.org/sites/flosshub.org/files/24WhenDoChanges.pdf},
	author = {Sliwerski, J and Zimmermann, Thomas and Zeller, Andreas}
}
@booklet {Lopez-Fernandez_applyingsocial,
	title = {Applying Social Network Analysis to the Information in CVS Repositories},
	howpublished = {International Workshop on Mining Software Repositories (MSR 2004)},
	year = {2004},
	pages = {101-105},
	abstract = {The huge quantities of data available in the CVS repositories of large, long-lived libre (free, open source) software projects, and the many interrelationships among those data offer opportunities for extracting large amounts of valuable information about their structure, evolution and internal processes. Unfortunately, the sheer volume of that information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. In this paper, we propose the use of a well known set of methodologies (social network analysis) for characterizing libre software projects, their evolution over time and their internal structure. In addition, we show how we have applied such methodologies to real cases, and extract some preliminary conclusions from that experience.},
	keywords = {apache, complex networks, cvs, gnome, kde, libre software engineering, source code, source code repositories, visualization techniques, vizualization},
	attachments = {https://flosshub.org/sites/flosshub.org/files/101ApplyingSocial.pdf},
	author = {L{\'o}pez-Fern{\'a}ndez, L. and Gregorio Robles and Jesus M. Gonzalez-Barahona}
}
@proceedings {1188,
	title = {Communication and Conflict Issues in Collaborative Software Research Projects},
	year = {2004},
	pages = {14-17},
	abstract = {The Open Source Component Artefact Repository (OSCAR) was developed under the auspices of the GENESIS project to store data produced during the software development process. Significant problems were encountered during the course of the project in both the development itself and management of the project. The reasons for and potential solutions to these problems are examined with the intention of developing a set of guidelines to enable participants in other collaborative projects to avoid these pitfalls.
We wish to make it clear that we attach no opprobrium to any of the participants in the GENESIS project as many of the issues we outline below have solutions only visible with hindsight. Instead, we seek to provide a fair-minded critique of our role and the mistakes we made in a fairly typical two-year EU research project, and to provide a set of recommendations for other similar projects, in order that they can (attempt to) avoid suffering similarly.},
	keywords = {artefact, cvs, genesis, oscar},
	attachments = {https://flosshub.org/sites/flosshub.org/files/boldyreff15-18.pdf},
	author = {Boldyreff, Cornelia and Nutter, David and Rank, Stephen}
}
@proceedings {1190,
	title = {Community structure of modules in the Apache project},
	year = {2004},
	pages = {44-48},
	abstract = {The relationships among modules in a software project of a certain size can give us much information about its internal organization and a way to control and monitor development activities and evolution of large libre software projects. In this paper, we show how information available in CVS repositories can be used to study the structure of the modules in a project when they are related by the people working in them, and how techniques taken from the social networks fields can be used to highlight the characteristics of that structure. As a case example, we also show some results of applying this methodology to the Apache project in several points in time. Among other facts, it is shown how the project evolves and is self-structuring, with developer communities of modules corresponding to semantically related families of modules.},
	keywords = {apache, cvs, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/gonzalezBarahona44-48.pdf},
	author = {Jesus M. Gonzalez-Barahona and Luis Lopez and Gregorio Robles}
}
@conference {Xinyi04fourinteresting,
	title = {Four Interesting Ways in Which History Can Teach Us About Software},
	booktitle = {Proceedings of the 2004 international workshop on Mining software repositories  - MSR {\textquoteright}04},
	year = {2004},
	month = {05/2004},
	pages = {58-62},
	abstract = {In this position paper, we outline four kinds of studies that we have undertaken in trying to understand various aspects of a software system{\textquoteright}s evolutionary history. In each instance, the studies have involved detailed examination of real software systems based on {\textquotedblleft}facts{\textquotedblright} extracted from various kinds of source artifact repositories, as well as the development of accompanying tools to aid in the extraction, abstraction, and comprehension processes. We briefly discuss the goals, results, and methodology of each approach.},
	keywords = {ant, apache, change analysis, clone, clone detection, cvs, evolution, gcc, growth, kepler, linux, midworld, mycore, postgresql, source code, version control},
	attachments = {https://flosshub.org/sites/flosshub.org/files/58FourInterestingWays.pdf},
	author = {Michael Godfrey and Xinyi Dong and Cory Kapser and Lijie Zou}
}
@conference {Germ04b,
	title = {Mining CVS repositories, the softChange experience},
	booktitle = {Proc. Int{\textquoteright}l Workshop on Mining Software Repositories ({MSR})},
	year = {2004},
	note = {"Mailing lists. Mailing lists are an important source of information about the evolution of the project. We currently correlate MRs [modification requests] to mail messages by using the author and the date attributes of both the MR and the message."},
	pages = {17{\textendash}21},
	abstract = {CVS logs are a rich source of software trails (information left behind by the contributors to the development process, usually in the forms of logs). This paper describes how softChange extracts these trails, and enhances them. This paper also addresses some challenges that CVS fact extraction poses to researchers.},
	keywords = {bugzilla, cvs, email archives, log files, logs, softchange},
	attachments = {https://flosshub.org/sites/flosshub.org/files/17MiningCVS.pdf},
	author = {German, Daniel}
}
@conference {1050,
	title = {Mining version control systems for FACs (frequently applied changes)},
	booktitle = {International Workshop on Mining Software Repositories (MSR 2004)},
	volume = {2004},
	year = {2004},
	pages = {48 - 52},
	publisher = {IEE},
	organization = {IEE},
	address = {Edinburgh, Scotland, UK},
	abstract = {Today, programmers are forced to maintain a software system based on their gut feeling and experience. This paper makes an attempt to turn the software maintenance craft into a more disciplined activity, by mining for frequently applied changes in a version control system. Next to some initial results, we show how this technique allows to recover and study successful maintenance strategies, adopted for the redesign of long{\textendash}lived systems.},
	keywords = {ccfinder, change analysis, change history, clone, clone detection, cvs, maintenance, tomcat, version control},
	doi = {10.1049/ic:20040475},
	attachments = {https://flosshub.org/sites/flosshub.org/files/48MiningVersion.pdf},
	author = {Van Rysselberghe, F. and Demeyer, S}
}
@conference {German03automatingthe,
	title = {Automating the measurement of open source projects},
	booktitle = {Proceedings of the 3rd Workshop on Open Source Software Engineering},
	year = {2003},
	note = {"We have chosen to use Evolution to illustrate some of the capabilities of SoftChange. We focus on the data provided by CVS logs and the CVS commit mailing list. Our data includes changes to the CVS repository from April 1998 to January 2003."},
	pages = {63{\textendash}67},
	abstract = {The proliferation of open source projects raises a number of vital economic, social, and software engineering questions that are subject of intense research. Based on experience analyzing numerous open source and commercial projects we propose a set of tools to support extraction and validation of software project data. Such tools would streamline empirical investigation of open source projects and make it possible to test existing and new theories about the nature of open source projects. Our soft- ware includes tools to extract and summarize information from mailing lists, CVS logs, ChangeLog files, and defect tracking databases. More importantly, it cross-links records from various data sources and identifies all contributors for a software change. We illustrate some of the capabilities by analyzing data from Ximian Evolution project.},
	keywords = {bug reports, bug tracking, changelog, cvs, defects, evolution, log files, logs, mailing list, scm, softchange, source code, ximian, ximian evolution},
	attachments = {https://flosshub.org/sites/flosshub.org/files/germanMockus2003.pdf},
	author = {German, Daniel and Audris Mockus}
}
@conference {DBLP:conf/ecis/TsiavosH03,
	title = {Beyond good and evil: why open source development for peer-to-peer networks does not necessarily equal to an open society is as imbalanced as copyright law and definitely is not going to make you a better person},
	booktitle = {European Conference on Information Systems (ECIS 2003)},
	year = {2003},
	note = {"In a first stage we collected data related to the development of the Gnutella protocol. The sources included: web sites that were used for hosting forums and file repositories related to the development of the protocol that could be either archived or still operational; messages posted on discussion groups, forums and newsgroups; the design documents of the Gnutella protocol.
In a second stage we gathered material related to the Limewire application. The sources included: operational and archived web sites having been used for the development of the application; applications such as Concurrent Version Systems (CVS) or Bug reporting tools (such as Issuezila), design and implementation documentation and relevant press reports.
The data gathered covered a time span from early 2000 to late November 2002."
"Other sources informed our research and also acted, at times of uncertainty, as forms of triangulation and verification (Lee 1991). These sources include websites such as Slashdot.org and WiredNews; IRC-mediated communications and private messages exchanged between the various developers."},
	month = {2003},
	abstract = {This paper interrogates the claims that open source development is an ideal form of regulatory development. We begin by presenting the literature that offers a framework of modalities of regulation where code, along with laws, markets, and norms shape and influence individual action. Within this framework, it is argued that for an Open Society we need Open Code.	We present the processes through which the Gnutella protocol and the Limewire application are developed by deconstructing the mechanisms of participation and contribution of the individual developers. The techniques of monitoring, modularization and filtering that we identify appear to be inconsistent with open society promises. Instead we suggest a different framing, that of creating nests of interests, whose creators can find refuge from inhabitants of other nests. From that perspective, we suggest that we should stop referring to the war between Copyright and peer-to-peer networks as the battle between good and evil.},
	keywords = {bug reports, cvs, design documents, discussion, discussion forums, documentation, forums, gnutella, issuezilla, limewire, web site},
	attachments = {https://flosshub.org/sites/flosshub.org/files/tsiavosHosein.pdf},
	author = {Prodromos Tsiavos and Ian Hosein}
}
@article {146,
	title = {Community, joining, and specialization in open source software innovation: a case study},
	journal = {Research Policy},
	volume = {32},
	number = {7},
	year = {2003},
	note = {first, telephone interviews
"Secondly, we collected the project{\textquoteright}s public email conversations stored in the projects{\textquoteright} 
mailing lists which is archived on Freenet{\textquoteright}s website"
"The third source of data included the history of changes to the software code available 
via the project{\textquoteright}s software repository within the CVS ({\textquoteleft}Concurrent Versioning System{\textquoteright}) source 
code management tool"
"Fourthly, in order obtain contextual understanding of the project we collected publicly 
available documents related to open source in general and to the project in particular. Among 
the most important sources were the Freenet project web pages (e.g. the Frequently Asked 
Questions (FAQ)7), Ian Clarke{\textquoteright}s master thesis (1999), newspaper interviews with the core 
developers, and a technical paper (Clarke, Sandberg, Wiley, \& Hong, 2000) describing the 
Freenet project written by some of the developers."},
	pages = {1217-1241},
	abstract = {This paper develops an inductive theory of the open source software innovation process by focussing on the creation of Freenet, a project aimed at developing a decentralized and anonymous peer-to-peer electronic file sharing network. We are particularly interested in the strategies and processes by which new people join the existing community of software developers, and how they initially contribute code. Analyzing data from multiple sources on the Freenet software development process, we generate the constructs of "joining script", We are grateful to helpful comments from two anonymous reviewers. We also thank Chris Argyris, John Seely Brown, Eric von Hippel, Stefan Haefliger, Petra Kugler, Heike Bruch, Simon Gchter, Simon Peck, and Hari Tsoukas for helpful comments and suggestions. Ben Ho and Craig Lebowitz provided technical assistance with data importation and parsing. We would like to thank Ian Clarke and the Freenet developers for their willingness to participate in our study and providing key insights into the open source development process. Karim R. Lakhani would like to acknowledge the generous support of The Boston Consulting Group and Canada{\textquoteright}s Social Science and Humanities Research Council doctoral fellowship. Georg von Krogh and Sebastian Spaeth acknowledge the generous support from the Research Foundation at the University of St. Gallen.},
	keywords = {cvs, email, email archives, freenet, INNOVATION, mailing lists, roles, source code},
	doi = {http://dx.doi.org/10.1016/S0048-7333(03)00050-7},
	attachments = {https://flosshub.org/sites/flosshub.org/files/krogh03.pdf},
	author = {Georg von Krogh and Spaeth, S. and Karim R Lakhani}
}
@conference {1160,
	title = {Adopting OSS Methods by Adopting OSS Tools},
	booktitle = {Proceedings of the 2nd ICSE Workshop on Open Source},
	year = {2002},
	abstract = {The open source movement has created and used a set of software engineering tools with features that fit the characteristics of open source development processes. To a large extent, the open source culture and methodology are conveyed to new developers via the toolset itself, and through the demonstrated usage of these tools on existing projects. The rapid and wide adoption of open source tools stands in stark contrast to the difficulties encountered in adopting traditional CASE tools. This paper explores the characteristics that make these tools adoptable and how adopting them may influence software development processes.},
	keywords = {ant, argouml, bugzilla, cactus, cvs, developers, eclipse, emacs, email, faq, junit, mailing lists, make, netbeans, package management, rpm, scarab, subversion, teams, tools, torque, WORK},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Robbins.pdf},
	author = {Robbins, Jason E.}
}
@article {65,
	title = {Analyzing cloning evolution in the Linux kernel},
	journal = {Information and Software Technology},
	volume = {44},
	number = {13},
	year = {2002},
	pages = {755-765},
	abstract = {Identifying code duplication in large multi-platform software systems is a challenging problem. This is due to a variety of reasons including the presence of high-level programming languages and structures interleaved with hardware-dependent low-level resources and assembler code, the use of GUI-based configuration scripts generating commands to compile the system, and the extremely high number of possible different configurations. This paper studies the extent and the evolution of code duplications in the Linux kernel. Linux is a large, multi-platform software system; it is based on the Open Source concept, and so there are no obstacles in discussing its implementation. In addition, it is decidedly too large to be examined manually: the current Linux kernel release (2.4.18) is about three million LOCs. Nineteen releases, from 2.4.0 to 2.4.18, were processed and analyzed, identifying code duplication among Linux subsystems by means of a metric-based approach. The obtained results support the hypothesis that the Linux system does not contain a relevant fraction of code duplication. Furthermore, code duplication tends to remain stable across releases, thus suggesting a fairly stable structure, evolving smoothly without any evidence of degradation. (C) 2002 Elsevier Science B.V. All rights reserved.},
	keywords = {cvs, kernel, lines of code, linux, loc, project success, source code},
	url = {web.soccerlab.polymtl.ca/~antoniol/publications/.../infsoft2002.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/infsoft2002.pdf},
	author = {Antoniol, G. and Villano, U. and Merlo, E. and Di Penta, M.}
}
@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}
}
@article {1117,
	title = {Effort, co-operation and co-ordination in an open source software project: GNOME},
	journal = {Information Systems Journal},
	volume = {12},
	year = {2002},
	note = {"Also retrieved by a Perl script were the postings to the relevant discussion lists including the sender, the subject, time and complete text. For analysis of the posting behaviour of the programmers, the short name that each programmer uses for checkins had to be matched to the full name or email address used for postings. For 175 persons, this has been possible using several regular expressions with human check-up."},
	month = {01/2002},
	pages = {27 - 42},
	abstract = {This paper presents results from research into open source projects from a software engineering perspective. The research methodology employed relies on public data retrieved from the CVS repository of the GNOME project and relevant discussion groups. This methodology is described, and results concerning the special characteristics of open source software development are given. These data are used for a first approach to estimating the total effort to be expended.},
	keywords = {cvs, discussion, effort estimation, gnome},
	issn = {1365-2575},
	doi = {10.1046/j.1365-2575.2002.00110.x},
	author = {Koch, Stefan and Schneider, Georg}
}
@conference {1154,
	title = {Version Control: A Case Study in the Challenges and Opportunities for Open Source Software Development},
	booktitle = {Proceedings of the 2nd ICSE Workshop on Open Source},
	year = {2002},
	abstract = {The growth of the worldwide open source development effort, driven in part by the recent entrance of large corporations into the open source arena, offers new opportunities to improve the software engineering tools available for that effort. Indeed, the increasing difficulty of managing large open source projects, as well as that of integrating related efforts into new programming environments, represents a challenge that must be met if the rapid growth of open source software is to continue. This position paper addresses these issues in the context of software version control.},
	keywords = {cvs, kernel, linux, linux kernel, version control},
	attachments = {https://flosshub.org/sites/flosshub.org/files/ChuCarrollShieldsWright.pdf},
	author = {Chu-Carroll, M.C. and Sheilds, D. and Wright, J.}
}
@conference {1157,
	title = {Why Do Developers Contribute to Open Source Projects? First Evidence of Economic Incentives},
	booktitle = {Proceedings of the 2nd ICSE Workshop on Open Source},
	year = {2002},
	note = {"The data for this research come from two primary sources: Apache project archives and a targeted survey of Apache participants. Archival data are open source project artifacts such as email and source code archives, source code version control meta-data and developer web sites."},
	abstract = {The availability of commercial quality, free software products such as the Apache HTTP (web) server or the Linux operating system has focused significant attention on the open source development process by which these products were created. One of the more perplexing aspects of open source software projects is why developers freely devote their time and energy to these projects. While many open source participants cite idealistic motives for participation, Lerner and Tirole (2000) argue that developer participation in open source projects may, in part, be explained by existing economic theory regarding career concerns. This research seeks to confirm or disconfirm the existence of economic returns to participation in open source development. Preliminary results of our empirical investigation suggest that greater open source participation per se, as measured in contributions made, does not lead to wage increases. However, a higher status in a merit-based ranking within the Apache Project does lead to significantly higher wages. This suggests that employers do not reward the gain in experience through open source participation as an increase in human capital. The results are also consistent with the notion that a high rank within the Apache Software Foundation is a credible signal of the productive capacity of a programmer.},
	keywords = {apache, contributions, cvs, developers, ECONOMICS, email, email archives, financial, Human capital, mailing list, MOTIVATION, participation, source code, version control},
	attachments = {https://flosshub.org/sites/flosshub.org/files/HannRobertsSlaughterFielding.pdf},
	author = {Il-Horn Hann and Jeff Roberts and Sandra Slaughter and Roy Fielding}
}
@conference {1138,
	title = {Creating a Free, Dependable Software Engineering Environment for Building Java Applications},
	booktitle = {1st Workshop on Open Source Software Engineering at ICSE 2001},
	year = {2001},
	abstract = {As open source software engineering becomes more prevalent, employing sound software engineering practices and the tools used to implement these practices becomes more important. This paper examines the current status of free software engineering tools. For each set of tools, we determined the important attributes that would best assist a developer in each stage of the waterfall model. We rated each tool based on predetermined attributes. We used the creation of a graphical user interface based email client in Java to assist in evaluating each tool. Our findings show that there is still a need for free tools to extract UML diagrams, test graphical user interfaces, make configuring Emacs easier, and profile Java applications. In other areas there are free tools that provide satisfactory functionality such as Concurrent Versions System (CVS), GVim, JUnit, JRefactory, GNU Make, Jakarta Ant, Javadoc, and Doc++.},
	keywords = {applications, cvs, Doc++, GNU Make, GVim, Jakarta Ant, java, Javadoc, jrefactory, junit, tools},
	attachments = {https://flosshub.org/sites/flosshub.org/files/bittman.pdf},
	author = {Bittman, M. and Roos, R. and Kapfhammer, G.M.}
}
@article {flosswp26,
	title = {A Case Study of Open Source Software Development: The Apache Server},
	journal = {Proceedings of the International Conference on Software Engineering (ICSE 2000)},
	year = {2000},
	note = {We used the following archival sources of data:
Developer email list (EMAIL).
Concurrent Version Control archive (CVS).
Problem reporting database (BUGDB).},
	month = {June},
	abstract = {According to its proponents, open source style software development has the capacity to compete successfully, and perhaps in many cases displace, traditional commercial development methods. We examine the development process of a major open source application, the Apache web server. By using email archives of source code change history and problem reports we quantify aspects of developer participation, core team size, code ownership, productivity, defect density, and problem resolution interval for this OSS project. This analysis reveals a unique process, which performs well on important measures.},
	keywords = {apache, bug fix revisions, bugs, core, cvs, defect density, developers, email archives, participation, productivity, revision control, revision history, roles, scm, source code, team size},
	attachments = {https://flosshub.org/sites/flosshub.org/files/mockusapache.pdf},
	author = {Audris Mockus and Roy Fielding and Herbsleb, James}
}
@conference {Yamauchi:2000:CLM:358916.359004,
	title = {Collaboration with Lean Media: how open-source software succeeds},
	booktitle = {Proceedings of the 2000 ACM conference on Computer supported cooperative work (CSCW)},
	series = {CSCW {\textquoteright}00},
	year = {2000},
	pages = {329{\textendash}338},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Open-source software, usually created by volunteer programmers dispersed worldwide, now competes with that developed by software firms. This achievement is particularly impressive as open-source programmers rarely meet. They rely heavily on electronic media, which preclude the benefits of face-to-face contact that programmers enjoy within firms. In this paper, we describe findings that address this paradox based on observation, interviews and quantitative analyses of two open-source projects. The findings suggest that spontaneous work coordinated afterward is effective, rational organizational culture helps achieve agreement among members and communications media moderately support spontaneous work. These findings can imply a new model of dispersed collaboration.},
	keywords = {cooperative work, cvs, distributed work, electronic media, INNOVATION, open-source, software engineering},
	isbn = {1-58113-222-0},
	doi = {10.1145/358916.359004},
	url = {http://doi.acm.org/10.1145/358916.359004},
	author = {Yamauchi, Yutaka and Yokozawa, Makoto and Shinohara, Takeshi and Ishida, Toru}
}
