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A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems., and . CoRR, (2017)Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction., , and . CoRR, (2017)An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency., , and . Int. J. Open Source Softw. Process., 12 (4): 1-18 (2021)Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept., and . Int. J. Syst. Assur. Eng. Manag., 8 (2s): 1487-1502 (2017)Detection of web service anti-patterns using weighted extreme learning machine., , , and . Comput. Stand. Interfaces, (2022)Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction., , , , , and . Expert Syst. Appl., (August 2023)Turbo Coded OFDM-OQAM Using Hilbert Transform., , , and . CoRR, (2023)An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction., , , and . HPCC/DSS/SmartCity, page 559-564. IEEE, (2020)An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework., and . COMPSAC (1), page 2-11. IEEE Computer Society, (2018)An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron., , , and . OCIT, page 485-490. IEEE, (2023)