A multi-objective effort-aware approach for early code review prediction and prioritization
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10664-023-10431-7.pdf
Reference73 articles.
1. AlOmar EA, Chouchen M, Mkaouer MW, Ouni A (2022) Code review practices for refactoring changes: An empirical study on openstack. In: Proceedings of the 19th international conference on mining software repositories, pp 689–701
2. Arcuri A, Briand L (2011) A practical guide for using statistical tests to assess randomized algorithms in software engineering. In: Proceedings of the 33rd international conference on software engineering, pp 1–10
3. Arisholm E, Briand LC, Johannessen EB (2010) A systematic and comprehensive investigation of methods to build and evaluate fault prediction models. J Syst Softw 83(1):2–17
4. Bacchelli A, Bird C (2013) Expectations, outcomes, and challenges of modern code review. In: 2013 35th International conference on software engineering (ICSE). IEEE, pp 712–721
5. Baysal O, Kononenko O, Holmes R, Godfrey MW (2016) Investigating technical and non-technical factors influencing modern code review. Empir Softw Eng 21(3):932–959
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