An empirical evaluation of defect prediction approaches in within-project and cross-project context
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Link
https://link.springer.com/content/pdf/10.1007/s11219-023-09615-7.pdf
Reference83 articles.
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3. Arisholm, E., Briand, L. C., & Johannessen, E. B. (2010). A systematic and comprehensive investigation of methods to build and evaluate fault prediction models. Journal of Systems and Software, 83, 2–17.
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5. Barua, S., Islam, M. M., Yao, X., & Murase, K. (2014). MWMOTE-majority weighted minority oversampling technique for imbalanced data set learning. IEEE Transactions on Knowledge and Data Engineering, 26, 405–425.
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