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Studying the effect of co-change dispersion on software quality | IEEE Conference Publication | IEEE Xplore

Studying the effect of co-change dispersion on software quality


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 ...Show More

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.
Date of Conference: 18-26 May 2013
Date Added to IEEE Xplore: 26 September 2013
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Conference Location: San Francisco, CA, USA

References

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