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Change Bursts as Defect Predictors
Abstract
In software development, every change induces a risk. What happens if code changes again and again in some period of time? In an empirical study on Windows Vista, we found that the features of such change bursts have the highest predictive power for defect-prone components. With precision and recall values well above 90%, change bursts significantly improve upon earlier predictors such as complexity metrics, code churn, or organizational structure. As they only rely on version history and a controlled change process, change bursts are straight-forward to detect and deploy.
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Cited by
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
Hall, T., Beecham, S., Bowes, D., Gray, D., & Counsell, S. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.103 · Cited by 1,154
A systematic review of machine learning techniques for software fault prediction
Malhotra, R. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.023 · Cited by 620
Software fault prediction metrics: A systematic literature review
Radjenović, D., Heričko, M., Torkar, R., & Živkovič, A. (2013) · Information and Software Technology · doi:10.1016/j.infsof.2013.02.009 · Cited by 538
Predicting Defective Lines Using a Model-Agnostic Technique
Wattanakriengkrai, S., Thongtanunam, P., Tantithamthavorn, C., Hata, H., & Matsumoto, K. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2020.3023177 · Cited by 137
Metadata
- Authors
- Nagappan, N., Zeller, A., Zimmermann, T., Herzig, K., & Murphy, B.
- Venue
- 2010 IEEE 21st International Symposium on Software Reliability Engineering
- Publisher
- IEEE
- Published
- 2010-11
- Pages
- 309-318
- OpenAlex
- W2114124859
- Cited by
- 195
- References
- 0
- FWCI
- 11.92
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Nagappan, N., Zeller, A., Zimmermann, T., Herzig, K., & Murphy, B. (2010). Change Bursts as Defect Predictors. 2010 IEEE 21st International Symposium on Software Reliability Engineering. https://doi.org/10.1109/issre.2010.25
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