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Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study., , , , and . IEEE Trans. Reliability, 67 (3): 1176-1198 (2018)Revisiting the size effect in software fault prediction models., , , and . ESEM, page 23:1-23:10. ACM, (2018)Rework Effort Estimation of Self-admitted Technical Debt., , , and . QuASoQ/TDA@APSEC, volume 1771 of CEUR Workshop Proceedings, page 72-75. CEUR-WS.org, (2016)Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction., , , , , , , and . MSR, page 670-681. ACM, (2022)A Methodology to Automate the Selection of Design Patterns., , , and . COMPSAC Workshops, page 161-166. IEEE Computer Society, (2016)978-1-4673-8845-0.A Drift Propensity Detection Technique to Improve the Performance for Cross-Version Software Defect Prediction., , , and . COMPSAC, page 882-891. IEEE, (2020)Multi-Objective Optimization for Software Testing Effort Estimation., , , and . SEKE, page 527-530. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2016)Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier., , , , and . QRS, page 434-441. IEEE, (2017)MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction., , , , and . ICSE, page 699. ACM, (2018)Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance., , , and . QRS, page 53-59. IEEE, (2020)