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An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models.

, and . Neurocomputing, (2021)

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Predicting Software Fault Proneness Model Using Neural Network., , and . XP, volume 9 of Lecture Notes in Business Information Processing, page 215-217. Springer, (2008)Tool to handle imbalancing problem in software defect prediction using oversampling methods., and . ICACCI, page 906-912. IEEE, (2017)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)A Systematic Literature Review on Maintenance of Software Containers., , and . ACM Comput. Surv., 56 (8): 193:1-193:38 (August 2024)Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality., , and . WCI, page 228-234. ACM, (2015)Deployment and performance monitoring of docker based federated learning framework for software defect prediction., , and . Clust. Comput., 27 (5): 6039-6057 (August 2024)Techniques for text classification: Literature review and current trends., , and . Webology, (2015)An automated tool for generating change report from open-source software., , and . ICACCI, page 1576-1582. IEEE, (2016)Software fault prediction for object oriented systems: a literature review., and . ACM SIGSOFT Softw. Eng. Notes, 36 (5): 1-6 (2011)Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics., and . BICT, ICST, (2014)