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Success And Abandonment In Open Source Commons: Selected Findings From An Empirical Study Of Sourceforge.Net Projects, Charles M. Schweik, Robert English, Qimti Paienjton, Sandy Haire Jan 2010

Success And Abandonment In Open Source Commons: Selected Findings From An Empirical Study Of Sourceforge.Net Projects, Charles M. Schweik, Robert English, Qimti Paienjton, Sandy Haire

Charles M. Schweik

Some open source software collaborations are sustained over long periods of time and across several versions of a software product, while others become abandoned even before the first version of the product has been developed. In this study, we identify factors that might be responsible for one or the other of these collaborative trajectories. We examine 107,747 open source software projects hosted on Sourceforge.net in August 2006 using data available through the FLOSSmole Project. We employ Classification and Regression Tree modeling and Random Forests statistical approaches to begin to establish an understanding of how various project attributes, especially physical and …


Factors Leading To Success Or Abandonment Of Open Source Commons: An Empirical Analysis Of Sourceforge.Net Projects, Charles M. Schweik, Robert English, Sandra Haire Jan 2009

Factors Leading To Success Or Abandonment Of Open Source Commons: An Empirical Analysis Of Sourceforge.Net Projects, Charles M. Schweik, Robert English, Sandra Haire

Charles M. Schweik

Open source software is produced cooperatively by groups of people who work together via the Internet. The software produced usually becomes the “common property” of the group and is freely distributed to anyone in the world who wants to use it. Although it may seem unlikely, open source collaborations, or “commons,” have grown phenomenally to become economically and socially important. But what makes open source commons succeed at producing something useful, or alternatively, what makes them become abandoned before achieving success? This paper reviews the theoretical foundations for understanding open source commons and briefly describes our statistical analysis of over …