@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 {1090,
	title = {A Topological Analysis of the Open Souce Software Development Community},
	booktitle = {Proceedings of the 38th Annual Hawaii International Conference on System Sciences},
	year = {2006},
	note = {"We extracted data from a 2003 data dump obtained from SourceForge. "
roles},
	pages = {1-10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Big Island, HI, USA},
	abstract = {The fast growth of OSS has increased the interest in studying the composition of the OSS community and its collaboration mechanisms. Moreover, the success of a project may be related to the underlying social structure of the OSS development community. In this paper, we perform a quantitative analysis of Open Source Software developers by studying the entire development community at SourceForge [26]. Statistics and social network properties are explored to find collaborations and the effects of different members in the OSS development community. Small world phenomenon and scale free behaviors are found in the SourceForge development network. These topological properties may potentially explain the success and efficiency of OSS development practices. We also infer from our analysis that weakly associated but contributing co-developers and active users may be an important factor in OSS development.},
	keywords = {contributors, developers, roles, social network analysis, social networks, sourceforge, srda, users},
	doi = {10.1109/HICSS.2005.57},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.132.6830\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/xuGao.pdf},
	author = {Jin Xu and Gao, Yongqin and Christley, S. and Madey, G.}
}
