@conference {Bloemen:2014:GPD:2597073.2597131,
	title = {Gentoo Package Dependencies over Time},
	booktitle = {Proceedings of the 11th Working Conference on Mining Software Repositories},
	series = {MSR 2014},
	year = {2014},
	pages = {404{\textendash}407},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Open source distributions such as Gentoo need to accurately track dependency relations between software packages in order to install working systems. To do this, Gentoo has a carefully authored database containing those relations. In this paper, we extract the Gentoo package dependency graph and its changes over time. The final dependency graph spans 15 thousand open source projects and 80 thousand dependency relations. Furthermore, the development of this graph is tracked over time from the beginning of the Gentoo project in 2000 to the first quarter of 2012, with monthly resolution. The resulting dataset provides many opportunities for research. In this paper we explore cluster analysis to reveals meaningful relations between packages and in a separate paper we analyze changes in the dependencies over time to get insights in the innovation dynamics of open source software.
},
	keywords = {dependencies, gentoo, graph, INNOVATION},
	isbn = {978-1-4503-2863-0},
	doi = {10.1145/2597073.2597131},
	url = {http://doi.acm.org/10.1145/2597073.2597131},
	author = {Bloemen, Remco and Amrit, Chintan and Kuhlmann, Stefan and Ord{\'o}{\~n}ez{\textendash}Matamoros, Gonzalo}
}
@conference {Bloemen:2014:IDO:2597073.2597079,
	title = {Innovation Diffusion in Open Source Software: Preliminary Analysis of Dependency Changes in the Gentoo Portage Package Database},
	booktitle = {Proceedings of the 11th Working Conference on Mining Software Repositories},
	series = {MSR 2014},
	year = {2014},
	pages = {316{\textendash}319},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In this paper we make the case that software dependencies are a form of innovation adoption. We then test this on the time-evolution of the Gentoo package dependency graph. We find that the Bass model of innovation diffusion fits the growth of the number of packages depending on a given library. Interestingly, we also find that low-level packages have a primarily imitation driven adoption and multimedia libraries have primarily innovation driven growth.
},
	keywords = {dependencies, gentoo, graph, INNOVATION},
	isbn = {978-1-4503-2863-0},
	doi = {10.1145/2597073.2597079},
	url = {http://doi.acm.org/10.1145/2597073.2597079},
	attachments = {https://flosshub.org/sites/flosshub.org/files/bloeman.pdf},
	author = {Bloemen, Remco and Amrit, Chintan and Kuhlmann, Stefan and Ord{\'o}{\~n}ez{\textendash}Matamoros, Gonzalo}
}
@proceedings {1278,
	title = {Building Knowledge in Open Source Software Research in Six Years of Conferences},
	year = {2011},
	note = {RQ1. Is there any social network underlying the research production at the OSS conference series?
RQ2. What are the major streams of research proposed at the OSS conference series?},
	month = {10/2011},
	pages = {123-141},
	publisher = {Springer},
	abstract = {Since its origins, the diffusion of the OSS phenomenon and the information about it has been entrusted to the Internet and its virtual communities of developers. This public mass of data has attracted the interest of researchers and practitioners aiming at formalizing it into a body of knowledge. To this aim, in 2005, a new series of conferences on OSS started to collect and convey OSS knowledge to the research and industrial community. Our work mines articles of the OSS conference series to understand the process of knowledge grounding and the community surrounding it. As such, we propose a semi-automated approach for a systematic mapping study on these articles. We automatically build a map of cross-citations among all the papers of the conferences and then we manually inspect the resulting clusters to identify knowledge building blocks and their mutual relationships. We found that industry-related, quality assurance, and empirical studies often originate or maintain new streams of research.},
	keywords = {Cross-citations, flossmole cited, graph, literature review, network, research, Systematic Mapping Study},
	author = {Mulazzini, Fabio and Rossi, Bruno and Russo, Barbara and Steff, Maximilian}
}
@conference {1305,
	title = {Visualizing collaboration and influence in the open-source software community},
	booktitle = {Proceedings of the 8th working conference on Mining software repositories - MSR {\textquoteright}11},
	year = {2011},
	note = {"This data set includes the complete social graph of 500,000 follow links as well as over 1,000,000 commits and 50,000 users."

"...a large fraction of [GitHub] users provide a location in their profile, which we can turn into geographic coordinates using a geocoding API like PlaceFinder...

"For each repository, we extract the owner, collaborator, and contributor usernames, plus branch names. New user- names help to find new repositories, while branch names are used to fetch commit metadata. Using this method, the crawler uncovered 40,860 code repositories, representing 33,388 unique project names and 1,219,872 individual commits."

"In addition to crawled data, we use the complete GitHub user follower graph from Jan 19, 2011. This graph includes 452,248 links connecting 106,247 unique users, 47\% (49,500) of which could be geocoded with the PlaceFinder API"},
	month = {05/2011},
	pages = {223-226},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York, New York, USA},
	abstract = {We apply visualization techniques to user profiles and repository metadata from the GitHub source code hosting service. Our motivation is to identify patterns within this development community that might otherwise remain obscured. Such patterns include the effect of geographic distance on developer relationships, social connectivity and influence among cities, and variation in project-specific contribution styles (e.g., centralized vs. distributed). Our analysis examines directed graphs in which nodes represent users{\textquoteright} geographic locations and edges represent (a) follower relationships, (b) successive commits, or (c) contributions to the same project. We inspect this data using a set of visualization techniques: geo-scatter maps, small multiple displays, and matrix diagrams. Using these representations, and tools based on them, we develop hypotheses about the larger GitHub community that would be difficult to discern using traditional lists, tables, or descriptive statistics. These methods are not intended to provide conclusive answers; instead, they provide a way for researchers to explore the question space and communicate initial insights.},
	keywords = {COLLABORATION, data exploration, geography, geoscatter, github, graph, mapping, metadata, open source, social graph, user profiles, visualization},
	isbn = {9781450305747},
	doi = {10.1145/1985441.1985476},
	url = {http://vis.stanford.edu/files/2011-GotHub-MSR.pdf},
	author = {Marschner, Eli and Rosenfeld, Evan and Heer, Jeffrey and Heller, Brandon}
}
@conference {1010,
	title = {Using Software Repositories to Investigate Socio-technical Congruence in Development Projects},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {25 - 25},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {We propose a quantitative measure of socio-technical congruence as an indicator of the performance of an organization in carrying out a software development project. We show how the information necessary to implement that measure can be mined from commonly used software repositories, and we describe how socio-technical congruence can be computed based on that information.},
	keywords = {developers, graph, scm, social networks, source code},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.33},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300025.pdf},
	author = {Valetto, Giuseppe and Helander, Mary and Ehrlich, Kate and Chulani, Sunita and Wegman, Mark and Williams, Clay}
}
@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 {Zimmermann:2006:MVA:1137983.1138001,
	title = {Mining version archives for co-changed lines},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {72{\textendash}75},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Files, classes, or methods have frequently been investigated in recent research on co-change. In this paper, we present a first study at the level of lines. To identify line changes across several versions, we define the annotation graph which captures how lines evolve over time. The annotation graph provides more fine-grained software evolution information such as life cycles of each line and related changes: "Whenever a developer changed line 1 of version.txt she also changed line 25 of Library.java."},
	keywords = {change, change analysis, change management, graph, lines of code, source code},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138001},
	url = {http://doi.acm.org/10.1145/1137983.1138001},
	attachments = {https://flosshub.org/sites/flosshub.org/files/72MiningVersionArchives.pdf},
	author = {Zimmermann, Thomas and Kim, Sunghun and Zeller, Andreas and Whitehead,Jr., E. James}
}
