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Prediction models and techniques for Open Source Software projects: A systematic literature review

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)1-39
Number of pages39
JournalInternational Journal of Open Source Software and Processes
Volume5
Issue number2
DOIs
Publication statusPublished - 1 Apr 2014
Publication typeA1 Journal article-refereed

Abstract

Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This paper reports on a systematic literature survey aimed at the identification and structuring of research that offer prediction models and techniques in analyzing OSS projects. In this review, we systematically selected and reviewed 52 peer reviewed articles that were published between January, 2000 and March, 2013. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.

ASJC Scopus subject areas

Keywords

  • Fault prediction, Open Source Software, OSS community, Prediction, Systematic literature review

Publication forum classification

Field of science, Statistics Finland