Collaboration using OSSmole: A repository of FLOSS data and analyses

Megan Conklin, James Howison, Kevin Crowston

Research output: Chapter in Book/Entry/PoemConference contribution

23 Scopus citations

Abstract

This paper introduces a collaborative project OSSmole which collects, shares, and stores comparable data and analyses of free, libre and open source software (FLOSS) development for research purposes. The project is a clearinghouse for data from the ongoing collection and analysis efforts of many disparate research groups. A collaborative data repository reduces duplication and promote compatibility both across sources of FLOSS data and across research groups and analyses. The primary objective of OSSmole is to mine FLOSS source code repositories and provide the resulting data and summary analyses as open source products. However, the OSSmole data model additionally supports donated raw and summary data from a variety of open source researchers and other software repositories. The paper first outlines current difficulties with the typical quantitative FLOSS research process and uses these to develop requirements for such a collaborative data repository. Finally, the design of the OSSmole system is presented, as well as examples of current research and analyses using OSSmole.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005
PublisherAssociation for Computing Machinery, Inc
ISBN (Print)1595931236, 9781595931238
StatePublished - May 17 2005
Event2005 International Workshop on Mining Software Repositories, MSR 2005 - St. Louis, United States
Duration: May 17 2005 → …

Publication series

NameProceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005

Other

Other2005 International Workshop on Mining Software Repositories, MSR 2005
Country/TerritoryUnited States
CitySt. Louis
Period5/17/05 → …

Keywords

  • Data analysis
  • Data mining
  • Data repository
  • Defect tracking
  • Free software
  • Libre software
  • Open source software
  • Project metrics
  • Source control

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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