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An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency., , и . Int. J. Open Source Softw. Process., 12 (4): 1-18 (2021)Detection of web service anti-patterns using weighted extreme learning machine., , , и . Comput. Stand. Interfaces, (2022)A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems., и . CoRR, (2017)Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction., , и . CoRR, (2017)Turbo Coded OFDM-OQAM Using Hilbert Transform., , , и . CoRR, (2023)An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level., , , , , и . FedCSIS, том 25 из Annals of Computer Science and Information Systems, стр. 477-484. (2021)Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept., и . Int. J. Syst. Assur. Eng. Manag., 8 (2s): 1487-1502 (2017)Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction., , , , , и . Expert Syst. Appl., (августа 2023)An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction., , , и . HPCC/DSS/SmartCity, стр. 559-564. IEEE, (2020)Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques., , и . ISEC, стр. 8:1-8:11. ACM, (2020)