@article {1861,
	title = {The Debsources Dataset: two decades of free and open source software},
	journal = {Empirical Software Engineering},
	year = {2016},
	month = {05/2015},
	publisher = {IEEE},
	abstract = {We present the Debsources Dataset: distribution metadata and source code metrics spanning two decades of Free and Open Source Software (FOSS) history, seen through the lens of the Debian distribution. Debsources is a software platform used to gather, search, and publish on the Web the full source code of the Debian operating system, as well as measures about it. A notable public instance of Debsources is available at http://sources.debian.net, it includes both current and historical releases of Debian. Plugins to compute popular source code metrics (lines of code, defined symbols, disk usage) and other derived data (e.g., Checksums) have been written, integrated, and run on all the source code available on sources.debian.net. The Debsources Dataset is a PostgreSQL database dump of sources.debian.net metadata, as of February 10th, 2015. The dataset contains both Debian-specific metadata -- e.g., which software packages are available in which release, which source code file belong to which package, release dates, etc. -- and source code information gathered by running Debsources plugins. The Debsources Dataset offer a very long-term historical view of the macro-level evolution and constitution of FOSS through the lens of popular, representative FOSS projects of their times.},
	keywords = {debian, metadata, postgresql},
	issn = {1573-7616},
	doi = {10.1007/s10664-016-9461-5},
	url = {https://matthieu.io/dl/papers/debsources-ese-2016.pdf},
	author = {Caneill, Matthieu and Daniel M. Germ{\'a}n and Zacchiroli, Stefano}
}
@article {1395,
	title = {Automated topic naming: supporting cross-project analysis of software maintenance activities},
	journal = {Empirical Software Engineering},
	year = {2012},
	abstract = {Software repositories provide a deluge of software artifacts to analyze. Researchers have attempted to summarize, categorize, and relate these artifacts by using semi-unsupervised machine-learning algorithms, such as Latent Dirichlet Allocation (LDA). LDA is used for concept and topic analysis to suggest candidate word-lists or topics that describe and relate software artifacts. However, these word-lists and topics are difficult to interpret in the absence of meaningful summary labels. Current attempts to interpret topics assume manual labelling and do not use domain-specific knowledge to improve, contextualize, or describe results for the developers. We propose a solution: automated labelled topic extraction. Topics are extracted using LDA from commit-log comments recovered from source control systems. These topics are given labels from a generalizable cross-project taxonomy, consisting of non-functional requirements. Our approach was evaluated with experiments and case studies on three large-scale Relational Database Management System (RDBMS) projects: MySQL, PostgreSQL and MaxDB. The case studies show that labelled topic extraction can produce appropriate, context-sensitive labels that are relevant to these projects, and provide fresh insight into their evolving software development activities. },
	keywords = {LDA, maxdb, mysql, postgresql, topics},
	issn = {1573-7616},
	doi = {10.1007/s10664-012-9209-9},
	author = {Hindle, Abram and Ernst, Neil A. and Godfrey, Michael W. and Mylopoulos, John}
}
@conference {1481,
	title = {Joining Free/Open Source Software Communities: An Analysis of Newbies{\textquoteright} First Interactions on Project Mailing Lists},
	booktitle = {2011 44th Hawaii International Conference on System Sciences (HICSS 2011)},
	year = {2011},
	pages = {1 - 10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Kauai, HI},
	abstract = {Free/Open source software (FOSS) is an important part of the IT ecosystem. Due to the voluntary nature of participation, continual recruitment is key to the growth and sustainability of these communities. It is therefore important to understand how and why potential contributors fail in the process of transitioning from user to contributor. Most newcomers, or "newbies", have their first interaction with a community through a mailing list. To understand how this first contact influences future interactions, we studied eight mailing lists across four FOSS projects: MediaWiki, GIMP, PostgreSQL, and Subversion. We analyzed discussions initiated by newbies to determine the effect of gender, nationality, politeness, helpfulness and timeliness of response. We found that nearly 80\% of newbie posts received replies, and that receiving timely responses, especially within 48 hours, was positively correlated with future participation. We also found that while the majority of interactions were positive, 1.5\% of responses were rude or hostile.},
	keywords = {email, email archive, gimp, mailing list, mediawiki, postgresql, subversion},
	isbn = {978-1-4244-9618-1},
	doi = {10.1109/HICSS.2011.264},
	author = {Jensen, Carlos and King, Scott and Kuechler, Victor}
}
@conference {967,
	title = {Should I contribute to this discussion?},
	booktitle = {2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)},
	year = {2010},
	pages = {181 - 190},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cape Town},
	abstract = {Development mailing lists play a central role in facilitating communication in open source projects. Since these lists frequently host design and project discussions, knowledgeable contribution to these discussion threads is essential to avoid mis-communication that might slow-down the progress of a project. However, given the sheer volume of emails on these lists, it is easy to miss important discussions. To find out how developers are able to deal with mailing list discussions, we study the main factors that encourage developers to contribute to the development mailing lists. We develop personalized models to automatically identify discussion threads that a developer would contribute to based on his previous contribution behavior. Case studies on development mailing lists of three open source projects (Apache, PostgreSQL and Python) show that the average accuracy of our models is 89-85\% and that the models vary significantly between different developers.},
	keywords = {apache, contributions, developers, email, email archives, mailing lists, postgresql, python},
	isbn = {978-1-4244-6802-7},
	doi = {10.1109/MSR.2010.5463345},
	attachments = {https://flosshub.org/sites/flosshub.org/files/181ibrahim-msr2010.pdf},
	author = {Ibrahim, Walid M and Bettenburg, Nicolas and Shihab, Emad and Adams, Bram and Hassan, Ahmed E.}
}
@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 {Pattison:2008:TWP:1370750.1370776,
	title = {Talk and work: a preliminary report},
	booktitle = {Proceedings of the 2008 international working conference on Mining software repositories},
	series = {MSR {\textquoteright}08},
	year = {2008},
	month = {05/2008},
	pages = {113{\textendash}116},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Developers in Open Source Software (OSS) projects communicate using mailing lists. By convention, the mailing lists used only for task-related discussions, so they are primarily concerned with the software under development, and software process issues (releases, etc.). We focus on the discussions concerning the software, and study the frequency with which software entities (functions, methods, classes, etc) are mentioned in the mail. We find a strong, striking, cumulative relationship between this mention count in the email, and the number of times these entities are included in changes to the software. When we study the same phenomena over a series of time-intervals, the relationship is much less strong. This suggests some interesting avenues for future research.},
	keywords = {ant, apache, email, mailing lists, postgresql, python, scm, source code},
	isbn = {978-1-60558-024-1},
	doi = {http://doi.acm.org/10.1145/1370750.1370776},
	url = {http://doi.acm.org/10.1145/1370750.1370776},
	attachments = {https://flosshub.org/sites/flosshub.org/files/p113-pattison.pdf},
	author = {Pattison, David S. and Bird, Christian A. and Premkumar T. Devanbu}
}
@conference {Hindle:2008:LCT:1370750.1370773,
	title = {What do large commits tell us?: a taxonomical study of large commits},
	booktitle = {Proceedings of the 2008 international working conference on Mining software repositories},
	series = {MSR {\textquoteright}08},
	year = {2008},
	month = {05/2008},
	pages = {99{\textendash}108},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Research in the mining of software repositories has frequently ignored commits that include a large number of files (we call these large commits). The main goal of this paper is to understand the rationale behind large commits, and if there is anything we can learn from them. To address this goal we performed a case study that included the manual classification of large commits of nine open source projects. The contributions include a taxonomy of large commits, which are grouped according to their intention. We contrast large commits against small commits and show that large commits are more perfective while small commits are more corrective. These large commits provide us with a window on the development practices of maintenance teams.},
	keywords = {boost, bug fixing, egroupware, enlightenment, evolution, firebird, large commits, maintenance, mysql, postgresql, samba, software evolution, source control system, spring},
	isbn = {978-1-60558-024-1},
	doi = {http://doi.acm.org/10.1145/1370750.1370773},
	url = {http://doi.acm.org/10.1145/1370750.1370773},
	attachments = {https://flosshub.org/sites/flosshub.org/files/p99-hindle.pdf},
	author = {Hindle, Abram and Daniel M. German and Holt, Ric}
}
@conference {1011,
	title = {Detecting Patch Submission and Acceptance in OSS Projects},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {26 - 26},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {The success of open source software (OSS) is completely dependent on the work of volunteers who contribute their time and talents. The submission of patches is the major way that participants outside of the core group of developers make contributions. We argue that the process of patch submission and acceptance into the codebase is an important piece of the open source puzzle and that the use of patch-related data can be helpful in understanding how OSS projects work. We present our methods in identifying the submission and acceptance of patches and give results and evaluation in applying these methods to the Apache webserver, Python interpreter, Postgres SQL database, and (with limitations) MySQL database projects. In addition, we present valuable ways in which this data has been and can be used.},
	keywords = {apache, contributions, mysql, patches, postgresql, python, scm, source code},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.6},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300026.pdf},
	author = {Christian Bird and Gourley, Alex and Devanbu, Prem}
}
@conference {995,
	title = {Open Borders? Immigration in Open Source Projects},
	booktitle = {Fourth International Workshop on Mining Software RepositoriesFourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {6 - 6},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Open source software is built by teams of volunteers. Each project has a core team of developers, who have the authority to commit changes to the repository; this team is the elite, committed foundation of the project, selected through a meritocratic process from a larger number of people who participate on the mailing list. Most projects carefully regulate admission of outsiders to full developer privileges; some projects even have formal descriptions of this process. Understanding the factors that influence the "who, how and when" of this process is critical, both for the sustainability of FLOSS projects, and for outside stakeholders who want to gain entry and succeed. In this paper we mount a quantitative case study of the process by which people join FLOSS projects, using data mined from the Apache web server, Postgres, and Python. We develop a theory of open source project joining, and evaluate this theory based on our data.},
	keywords = {apache, core, joining, postgresql, python, team},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.23},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300006.pdf},
	author = {Christian Bird and Gourley, Alex and Devanbu, Prem and Swaminathan, Anand and Hsu, Greta}
}
@conference {Tsunoda:2006:AOD:1137983.1138031,
	title = {Analyzing OSS developers{\textquoteright} working time using mailing lists archives},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {181{\textendash}182},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Our mining question is {\textquotedblleft}when OSS developers work?{\textquotedblright} OSS developers{\textquoteright} working time may be a good indicator to understand the development style of a project. (For example, if many developers work in office hour, these might be daily works in a company.)},
	keywords = {developers, email, email archives, mailing lists, mining challenge, msr challenge, overtime work, postgresql, workload},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138031},
	url = {http://doi.acm.org/10.1145/1137983.1138031},
	attachments = {https://flosshub.org/sites/flosshub.org/files/181AnalyzingOSS.pdf},
	author = {Tsunoda, Masateru and Monden, Akito and Kakimoto, Takeshi and Kamei, Yasutaka and Matsumoto, Ken-ichi}
}
@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 {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 {Kim:2006:LDT:1137983.1138027,
	title = {How long did it take to fix bugs?},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {173{\textendash}174},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {The number of bugs (or fixes) is a common factor used to measure the quality of software and assist bug related analysis. For example, if software files have many bugs, they may be unstable. In comparison, the bug-fix time--the time to fix a bug after the bug was introduced--is neglected. We believe that the bug-fix time is an important factor for bug related analysis, such as measuring software quality. For example, if bugs in a file take a relatively long time to be fixed, the file may have some structural problems that make it difficult to make changes. In this report, we compute the bug-fix time of files in ArgoUML and PostgreSQL by identifying when bugs are introduced and when the bugs are fixed. This report includes bug-fix time statistics such as average bug-fix time, and distributions of bug-fix time. We also list the top 20 bug-fix time files of two projects.},
	keywords = {argouml, bug fixing, bugs, mining challenge, msr challenge, postgresql, quality, time},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138027},
	url = {http://doi.acm.org/10.1145/1137983.1138027},
	attachments = {https://flosshub.org/sites/flosshub.org/files/173HowLong.pdf},
	author = {Kim, Sunghun and Whitehead,Jr., E. James}
}
@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 {Bird:2006:MES:1137983.1138033,
	title = {Mining email social networks in Postgres},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {185{\textendash}186},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Open Source Software (OSS) projects provide a unique opportunity to gather and analyze publicly available historical data. The Postgres SQL server, for example, has over seven years of recorded development and communication activity. We mined data from both the source code repository and the mailing list archives to examine the relationship between communication and development in Postgres. Along the way, we had to deal with the difficult challenge of resolving email aliases. We used a number of social network analysis measures and statistical techniques to analyze this data. We present our findings in this paper.},
	keywords = {developers, email, email archives, open source, postgresql, scm, social network analysis, social networks, source code, status},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138033},
	url = {http://doi.acm.org/10.1145/1137983.1138033},
	attachments = {https://flosshub.org/sites/flosshub.org/files/185MiningEmail.pdf},
	author = {Christian Bird and Gourley, Alex and Devanbu, Prem and Gertz, Michael and Swaminathan, Anand}
}
@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 {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 {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 {1248,
	title = {Supporting Distributed and Decentralized Projects: Drawing Lessons from the Open Source Community},
	booktitle = {1st Workshop on Open Source in an Industrial Context},
	year = {2003},
	note = {"We begin the remainder of the paper with discussion of a survey of open source projects, showing similarities that have arisen in tool usage"},
	month = {10/2003},
	abstract = {Open source projects are typically organized in a distributed and decentralized manner. These factors strongly determine the processes followed and constrain the types of tools that can be utilized. This paper explores how distribution and decentralization have affected processes and tools in existing open source projects with the goals of summarizing the lessons learned and identifying opportunities for improving both. Issues considered include decision-making, accountability, communication, awareness, rationale, managing source code, testing, and release management.},
	keywords = {abiword, apache, debian, freebsd, kde, linux, mozilla, mysql, perl, PHP, postgresql, python, subversion, tomcat, tools},
	attachments = {https://flosshub.org/sites/flosshub.org/files/erenkrantz2003.pdf},
	author = {Erenkrantz, J. and Taylor, R.N.}
}
@conference {1146,
	title = {Taxonomy of Open Source Software Development},
	booktitle = {1st Workshop on Open Source Software Engineering at ICSE 2001},
	year = {2001},
	keywords = {jun, linux, postgresql, wingnut},
	attachments = {https://flosshub.org/sites/flosshub.org/files/nakakojiyamamoto.PDF},
	author = {Nakakoji, K. and Yamamoto, Y.}
}
