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Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds.

, , , and . QRS Companion, page 93-100. IEEE, (2016)

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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier., , , , and . QRS, page 434-441. IEEE, (2017)Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance., , , and . QRS, page 53-59. IEEE, (2020)MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction., , , , and . ICSE, page 699. ACM, (2018)A Stratification and Sampling Model for Bellwether Moving Window., , , , and . SEKE, page 481-486. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2017)Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications., , , , , and . APSEC, page 121-130. IEEE, (2023)Building Defect Prediction Models by Online Learning Considering Defect Overlooking., , , , , , , and . CoRR, (2024)Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models., , , , , and . QRS, page 214-221. IEEE, (2016)Does class size matter? An in-depth assessment of the effect of class size in software defect prediction., , , and . CoRR, (2021)A systematic review on food recommender systems., , , and . Expert Syst. Appl., 238 (Part E): 122166 (March 2024)Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements., , , and . IEEE Access, (2024)