Studying the effect of co-change dispersion on software quality

DOI 10.1109/icse.2013.6606741 dblp

Abstract

Software change history plays an important role in measuring software quality and predicting defects. Co-change metrics such as number of files changed together has been used as a predictor of bugs. In this study, we further investigate the impact of specific characteristics of co-change dispersion on software quality. Using statistical regression models we show that co-changes that include files from different subsystems result in more bugs than co-changes that include files only from the same subsystem. This can be used to improve bug prediction models based on co-changes.

BibTeX

@inproceedings{Kouroshfar:ICSE13,
  author    = {Ehsan Kouroshfar},
  title     = {Studying the effect of co-change dispersion on software quality},
  booktitle = {ICSE},
  pages     = {1450--1452},
  publisher = {{IEEE} Computer Society},
  year      = {2013},
}

Studying the effect of co-change dispersion on software quality

Abstract

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