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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier., , , , и . QRS, стр. 434-441. IEEE, (2017)Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance., , , и . QRS, стр. 53-59. IEEE, (2020)MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction., , , , и . ICSE, стр. 699. ACM, (2018)A Stratification and Sampling Model for Bellwether Moving Window., , , , и . SEKE, стр. 481-486. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2017)Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications., , , , , и . APSEC, стр. 121-130. IEEE, (2023)Building Defect Prediction Models by Online Learning Considering Defect Overlooking., , , , , , , и . CoRR, (2024)Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study., , , , и . IEEE Trans. Reliability, 67 (3): 1176-1198 (2018)Revisiting the size effect in software fault prediction models., , , и . ESEM, стр. 23:1-23:10. ACM, (2018)Rework Effort Estimation of Self-admitted Technical Debt., , , и . QuASoQ/TDA@APSEC, том 1771 из CEUR Workshop Proceedings, стр. 72-75. CEUR-WS.org, (2016)Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction., , , , , , , и . MSR, стр. 670-681. ACM, (2022)