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A Novel Feature Selection Approach based on Binary Particle Swarm Optimization and Ensemble Learning for Heterogeneous Defect Prediction.

, , , and . APIT, page 115-121. ACM, (2021)

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Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models., , and . Software Engineering Research and Practice, page 664-670. CSREA Press, (2007)Recent advances in deep learning models: a systematic literature review., and . Multim. Tools Appl., 82 (29): 44977-45060 (December 2023)A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports., and . Int. J. Inf. Retr. Res., 12 (1): 1-18 (2022)Tool to handle imbalancing problem in software defect prediction using oversampling methods., and . ICACCI, page 906-912. IEEE, (2017)Predicting Software Fault Proneness Model Using Neural Network., , and . XP, volume 9 of Lecture Notes in Business Information Processing, page 215-217. Springer, (2008)Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications., and . J. Inf. Process. Syst., 14 (3): 751-770 (2018)Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality., , and . WCI, page 228-234. ACM, (2015)Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software., and . Int. J. Rough Sets Data Anal., 6 (3): 49-66 (2019)On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions., , and . Swarm Evol. Comput., (2017)Comparative analysis of statistical and machine learning methods for predicting faulty modules.. Appl. Soft Comput., (2014)