@conference {1783,
	title = {Linchpin Developers in Open Source Software Projects},
	booktitle = {Artificial Intelligence and Applications},
	year = {2013},
	note = {"The datasources used have been FLOSSmole[5], providing statistical data about each  project.   From  this  repository  we  extracted  the  role assumed by the developers, and domains of participation. "

"We compared our dataset, mined from the FLOSSmole repository [5], based on Sourceforge data, with the one given in [9]. "},
	publisher = {ACTAPRESS},
	organization = {ACTAPRESS},
	address = {Innsbruck, AustriaCalgary,AB,Canada},
	abstract = {In Open Source Software (OSS) development, the so-called linchpin developers are those that contribute contemporaneously to several projects, contributing to keeping the community tied together. While such developers have been identified in previous research, their importance within the OSS community has not been widely discussed. The main objective of this work is to analyze their {\textquotedblleft}weaving{\textquotedblright} role across projects. With this aim, we mined software repositories, using text mining techniques as log-likehood ratio and co-word analysis, further building social networks of developers within emerging communities. The findings show that linchpin developers generally attach in a preferential way to projects in a single specific domain. They tend to be more {\textquotedblleft}project managers{\textquotedblright}, and {\textquotedblleft}all-hands-persons{\textquotedblright}, meaning that they bring multi-disciplinary experience across projects. They tend to cover the same role across projects. They generally have high centrality in their projects, and contribute to create projects that ease the transition from a fragmented projects community to a more core-periphery community.
},
	keywords = {flossmole},
	doi = {10.2316/P.2013.796-018},
	url = {https://www.researchgate.net/publication/266632252_Linchpin_Developers_in_Open_Source_Software_Projects},
	author = {Corona, Erika Ingrid Mastranzo and Rossi, Bruno}
}
@inbook {springerlink:10.1007/978-3-642-13244-5_20,
	title = {Download Patterns and Releases in Open Source Software Projects: A Perfect Symbiosis?},
	booktitle = {Open Source Software: New Horizons},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {319},
	year = {2010},
	note = {"We apply experimentally our method to the most downloaded projects of SourceForge{\textquoteright}s history crawled through the FLOSSMole repository."},
	pages = {252-267},
	publisher = {Springer Boston},
	organization = {Springer Boston},
	abstract = {Software usage by end-users is one of the factors used to evaluate the success of software projects. In the context of open source software, there is no single and non-controversial measure of usage, though. Still, one of the most used and readily available measure is data about projects downloads. Nevertheless, download counts and averages do not convey as much information as the patterns in the original downloads time series. In this research, we propose a method to increase the expressiveness of mere download rates by considering download patterns against software releases. We apply experimentally our method to the most downloaded projects of SourceForge{\textquoteright}s history crawled through the FLOSSMole repository. Findings show that projects with similar usage can have indeed different levels of sensitivity to releases, revealing different behaviors of users. Future research will develop further the pattern recognition approach to automatically categorize open source projects according to their download patterns.},
	keywords = {flossmole, oss2010, sourceforge},
	url = {http://dx.doi.org/10.1007/978-3-642-13244-5_20},
	author = {Rossi, Bruno and Russo, Barbara and Succi, Giancarlo},
	editor = {{\r A}gerfalk, P{\"a}r and Boldyreff, Cornelia and Gonz{\'a}lez-Barahona, Jes{\'u}s and Madey, Gregory and Noll, John}
}
