@conference {Stewart:2005:PAI:1042438.1043100,
	title = {A Preliminary Analysis of the Influences of Licensing and Organizational Sponsorship on Success in Open Source Projects},
	booktitle = {Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07},
	series = {HICSS {\textquoteright}05},
	year = {2005},
	note = {"Publicly available data on open source projects registered on the Freshmeat website (www.freshmeat.net) was used to test the hypotheses. Data was collected from each project{\textquoteright}s Freshmeat website at the start and end of an eight month period (March - December 2002)."
"We first selected three project categories from which to draw our sample. These were utilities, software development, and games."
"Within these categories we further differentiated between new projects, which had been registered on the site within the two weeks prior to our first data collection point and older projects that had been registered more than two weeks prior to our initial data collection."
},
	month = {2005},
	pages = {1-10},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Washington, DC, USA},
	abstract = {This paper develops and tests a model of the impact of	licensing restrictiveness	and	organizational sponsorship on the popularity and vitality of open source software (OSS) development projects. Using data gathered from Freshmeat.net and OSS project home pages the main conclusions derived from the analysis are that organizational sponsorship has a positive effect on project popularity by easing user concerns about cost and quality and that license restrictiveness may have a negative effect on popularity by reducing the perceived utility of open source software. Theoretical and practical implications are discussed, and the paper outlines several avenues for future research.},
	keywords = {contributors, developers, freshmeat, license analysis, licensing, metadata, popularity, restrictive, users},
	isbn = {0-7695-2268-8-7},
	doi = {http://dx.doi.org/10.1109/HICSS.2005.38},
	url = {http://dx.doi.org/10.1109/HICSS.2005.38},
	author = {Stewart, Katherine J. and Ammeter, Anthony P. and Maruping, Likoebe M.}
}
@article {1099,
	title = {Evidences in the evolution of OS projects through Changelog Analyses},
	journal = {Proceedings of the 3rd ICSE Workshop on Open Source},
	year = {2003},
	note = {"In this study we concentrate on a very large sample (406 projects) selected randomly from an OS portal[20]" (freshmeat)

"We define three clusters of projects: {\textquoteright}large{\textquoteright} projects as long as they are based on more than 1000KB(40KLOC)..."},
	pages = {19-24},
	abstract = {Most empirical studies about Open Source (OS) projects or products are vertical and usually deal with the flagship, successful projects. There is a substantial lack of horizontal studies to shed light on the whole population of projects, including failures. This paper presents a horizontal study aimed at characterizing OS projects. We analyze a sample of around 400 projects from a popular OS project repository. Each project is characterized by a number of attributes. We analyze these attributes statically and over time. The main results show that few projects are capable of attracting a meaningful community of developers. The majority of projects is made by few (in many cases one) person with a very slow pace of evolution. We then try to observe how many projects count on a substantial number of developers, and analyze those projects more deeply. The goal is to achieve a better insight in the dynamics of open source development. The initial results of this analysis, especially growth in code size and tendency to stability in modularity, seem to be in line with traditional close source development.},
	keywords = {classification, freshmeat, loc, modularity, repository, size, sloc, source code},
	url = {http://hdl.handle.net/10552/1037},
	attachments = {https://flosshub.org/sites/flosshub.org/files/capiluppi2003.pdf},
	author = {Capiluppi, Andrea}
}
@article {flosswp85,
	title = {An Introduction to Open Source Communities},
	year = {2003},
	month = {04/2003},
	institution = {Blue Oxen Associates},
	abstract = {This report describes what open source communities are and how they work. It cites relevant research and presents original case studies of two open source projects: TouchGraph and SquirrelMail. It then identifies patterns of collaboration shared by these projects, and describes how these patterns might apply to other types of communities. Finally, it reviews what is still not well understood about open source communities, and proposes several paths for further research.},
	keywords = {free software foundation directory, freshmeat, fsf, sourceforge, squirrelmail, touchgraph},
	attachments = {https://flosshub.org/sites/flosshub.org/files/blueoxen.pdf},
	author = {Eugene Eric Kim}
}
@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}
}
@conference {stewart2002an-explorat,
	title = {An Exploratory Study of Factors Influencing the Level of Vitality and Popularity of Open Source Projects},
	booktitle = {ICIS 2002. Proceedings of International Conference on Information Systems 2002},
	year = {2002},
	note = {"We are currently tracking publicly available data on 240 open source projects registered on the freshmeat Website." "First, we randomly selected a total of 120 projects from the utilities, software development, and games and entertainment areas. We then selected 120 projects from these forums that had been registered on the site during the two weeks prior to the start of our data collection effort."},
	month = {2002},
	pages = {1-5},
	abstract = {In this research, we ask the question: What differentiates successful from unsuccessful open source software projects? Using a sample of 240 open source projects, we examine how organizational sponsorship, target audience (developer versus end user), license choice, and development status interact over time to influence the extent to which open source software projects attract user attention and developer activity.},
	keywords = {activity, audience, developers, freshmeat, license analysis, licenses, organizational sponsorship, project success, roles, status, target audience, users},
	author = {Stewart, Katherine J. and Ammeter, Tony}
}
