An empirically-based criterion for determining the success of an open-source project

Dror G. Feitelson*, Gillian Z. Heller, Stephen R. Schach

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

In order to determine a success criterion for open-source software projects, we analyzed 122,205 projects in the SourceForge database. There were 80,597projects with no downloads at all. We restricted our analysis to the 41,608 projects that together were downloaded 704,897,520 times. Contrary to what we had expected, the distribution of the number of downloads of each project is not Zipf-like; only a portion of the log-log plot of the number of downloads and their rank appears to be a straight line. We performed leastsquares analysis (utilizing the Bayesian information criterion) to divide the plot into three segments. On the basis of the shapes of the corresponding curves and the locations of their boundary points, we categorized the projects as follows: 85 superprojects (highly successful projects with more than 1.1 million downloads); just over 10,000 successful projects (with more than 1680 downloads each); and struggling projects (with 1680 downloads or fewer). In terms of our criterion, only a quarter of the projects that have one or more downloads can be deemed to be successful.

Original languageEnglish
Title of host publicationProceedings - 2006 Australian Software Engineering Conference, ASWEC 2006 - Taming Complexity through Research and Practice
Pages363-368
Number of pages6
DOIs
StatePublished - 2006
Event2006 Australian Software Engineering Conference, ASWEC 2006 - Sydney, Australia
Duration: 18 Apr 200621 Apr 2006

Publication series

NameProceedings of the Australian Software Engineering Conference, ASWEC
Volume2006

Conference

Conference2006 Australian Software Engineering Conference, ASWEC 2006
Country/TerritoryAustralia
CitySydney
Period18/04/0621/04/06

Keywords

  • Distribution of downloads
  • Open-source software
  • SourceForge repository
  • Success criterion
  • Zipf-like distribution

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