Identifying how determinants impact security-based open source software project success using rule induction
Barry A. Wray,
Richard G. Mathieu and
Jay M. Teets
International Journal of Electronic Marketing and Retailing, 2009, vol. 2, issue 4, 352-362
Abstract:
Open Source Software (OSS) projects permit users the freedom to use their software code for any purpose. The code can be studied, modified and freely redistributed. Even though OSS is free, the profit potential of OSS projects is becoming very attractive to software development companies. The potential financial gain for a developer lies in the support/maintenance and proprietary add-on features they can provide for their product. While there is extensive academic literature on Information System (IS) success, there are no empirical studies identifying the determinants of OSS project success. The contribution of this research is a model for the success of security-based OSS projects based on a rule induction approach. This empirical study is based onthe analysis of publicly available data from a repository of OSS project data (SourceForge.net).
Keywords: open source software; OSS; rule induction; classification and regression trees; CART; SourceForge; security; software projects; project success. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=25249 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijemre:v:2:y:2009:i:4:p:352-362
Access Statistics for this article
More articles in International Journal of Electronic Marketing and Retailing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().