A study on defect density of open source software

Cobra Rahmani, Deepak Khazanchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Open source software (OSS) development is considered an effective approach to ensuring acceptable levels of software quality. One facet of quality improvement involves the detection of potential relationship between defect density and other open source software metrics. This paper presents an empirical study of the relationship between defect density and download number, software size and developer number as three popular repository metrics. This relationship is explored by examining forty-four randomly selected open source software projects retrieved from SourceForge.net. By applying simple and multiple linear regression analysis, the results reveal a statistically significant relationship between defect density and number of developers and software size jointly. However, despite theoretical expectations, no significant relationship was found between defect density and number of downloads in OSS projects.

Original languageEnglish (US)
Title of host publicationProceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Pages679-683
Number of pages5
DOIs
StatePublished - 2010
Event9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 - Yamagata, Japan
Duration: Aug 18 2010Aug 20 2010

Publication series

NameProceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

Conference

Conference9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
CountryJapan
CityYamagata
Period8/18/108/20/10

Keywords

  • Bug repository
  • Defect density
  • Linear regression
  • Open source software
  • Software repository metric

ASJC Scopus subject areas

  • Information Systems

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