Abstract | ||
---|---|---|
Open Source Software is computer software for which the source code is publicly open for inspection, modification, and redistribution. While research of a few, large, successful projects have provided insights into the nature and practices of the open source software community; it still leaves open the question about the thousands of other open source projects which are neither large or highly successful. In this paper, we describe a data set of SourceForge.net, the world's largest open source software development site, which is available for research purposes; we discuss various data mining techniques that can be applied to the data and the type of research questions that can be answered. We apply a few of these techniques and provide analysis of the results. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/HICSS.2007.74 | Waikoloa, HI |
Keywords | Field | DocType |
open source project,largest open source software,open source software,computer software,open source software development,research question,source code,successful project,various data mining technique,open source software community,research purpose,data mining,public domain software,software development,software development process | Data science,Computer software,World Wide Web,Computer science,Package development process,Source code,Knowledge management,Software walkthrough,Open source software,Software development,Open-source software development,Public domain software | Conference |
ISSN | ISBN | Citations |
1530-1605 E-ISBN : 0-7695-2755-8 | 0-7695-2755-8 | 10 |
PageRank | References | Authors |
0.54 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Scott Christley | 1 | 293 | 26.68 |
Greg Madey | 2 | 153 | 9.65 |