@article {Au20099,
	title = {Virtual organizational learning in open source software development projects},
	journal = {Information \& Management},
	volume = {46},
	number = {1},
	year = {2009},
	pages = {9 - 15},
	abstract = {We studied virtual organizational learning in open source software (OSS) development projects. Specifically, our research focused on learning effects of OSS projects and the factors that affect the learning process. The number and percentage of resolved bugs and bug resolution time of 118 SourceForge.net OSS projects were used to measure the learning effects. Projects were characterized by project type, number and experience of developers, number of bugs, and bug resolution time. Our results provided evidence of virtual organizational learning in OSS development projects and support for several factors as determinants of performance. Team size was a significant predictor, with mid-sized project teams functioning best. Teams of three to seven developers exhibited the highest efficiency over time and teams of eight to 15 produced the lowest mean time for bug resolution. Increasing the percentage of bugs assigned to specific developers or boosting developer participation in other OSS projects also improved performance. Furthermore, project type introduced variability in project team performance.},
	keywords = {bug fixing, bugs, learning, Project performance, sourceforge, team size, teams, virtual organization},
	issn = {0378-7206},
	doi = {DOI: 10.1016/j.im.2008.09.004},
	url = {http://www.sciencedirect.com/science/article/B6VD0-4V1D7NT-1/2/a3bbf7652c674f753398160b8f05f6e9},
	author = {Yoris A. Au and Darrell Carpenter and Xiaogang Chen and Jan G. Clark}
}
@article {1091,
	title = {Evaluating the performance of open source software projects using data envelopment analysis},
	journal = {Information Management \& Computer Security},
	volume = {16},
	year = {2008},
	note = {"The data set used for this research consists of 34 OSS software projects listed on sourceforge.net." "only highly ranked projects in the security domain were considered."
"Ultimately data were collected on the 34 highest ranked security-based OSS software projects on Sourcefore.net."[sic]
fields: bug (?), developers, rank, downloads, Kperdownload (?)},
	month = {2008},
	pages = {449 - 462},
	abstract = {	

Purpose {\textendash} The purpose of this paper is to develop and test a model of the relative performance of open source software (OSS) projects.

Design/methodology/approach {\textendash} This paper evaluates the relative performance of OSS projects by evaluating multiple project inputs and multiple project outputs by using a data envelopment analysis (DEA) model. The DEA model produces an efficiency score for each project based on project inputs and outputs. The method of producing an efficiency score is based on the convex envelopment technology structure. The efficiency measure quantifies a {\textquotedblleft}distance{\textquotedblright} to an efficient frontier.

Findings {\textendash} The DEA model produced an index of corresponding intensities linking an inefficient project to its benchmark efficient project(s). The inefficiency measures produced an ordering of inefficient projects. Eight projects were found to be {\textquotedblleft}efficient{\textquotedblright} and used as benchmarking projects.

Research limitations/implications {\textendash} This research is limited to only security-based OSS projects. Future research on other areas of OSS projects is warranted.

Practical implications {\textendash} The result of this research is a practical model that can be used by OSS project developers to evaluate the relative performance of their projects and make resource decisions.

Originality/value {\textendash} This research extends the work of previous studies that have examined the relative performance of software development projects in a traditional development environment. As a result of this research, OSS projects can now be adequately benchmarked and evaluated according to project performance. An OSS project manger can effectively use these results to critically evaluate resources for their project and judge the relative efficiency of the resources.},
	keywords = {dea, efficiency, Project performance, sourceforge},
	issn = {0968-5227},
	doi = {10.1108/09685220810920530},
	author = {Wray, Barry and Mathieu, Richard and Teets, J.}
}
