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Recent advances in deep learning models: a systematic literature review., и . Multim. Tools Appl., 82 (29): 44977-45060 (декабря 2023)A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports., и . Int. J. Inf. Retr. Res., 12 (1): 1-18 (2022)Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models., , и . Software Engineering Research and Practice, стр. 664-670. CSREA Press, (2007)Analyzing Machine Learning Techniques for Fault Prediction Using Web Applications., и . J. Inf. Process. Syst., 14 (3): 751-770 (2018)Tool to handle imbalancing problem in software defect prediction using oversampling methods., и . ICACCI, стр. 906-912. IEEE, (2017)Predicting Software Fault Proneness Model Using Neural Network., , и . XP, том 9 из Lecture Notes in Business Information Processing, стр. 215-217. Springer, (2008)Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality., , и . WCI, стр. 228-234. ACM, (2015)Common threats to software quality predictive modeling studies using search-based techniques., и . ICACCI, стр. 554-560. IEEE, (2016)Estimating the threshold of software metrics for web applications., и . Int. J. Syst. Assur. Eng. Manag., 10 (1): 110-125 (2019)Fault prediction considering threshold effects of object-oriented metrics., и . Expert Syst. J. Knowl. Eng., 32 (2): 203-219 (2015)