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An Exploratory Evaluation of Continuous Feedback to Enhance Machine Learning Code Smell Detection.

, , and . CIbSE, page 76-90. Curran Associates, (2024)

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Detecting bad smells with machine learning algorithms: an empirical study., , and . TechDebt@ICSE, page 31-40. ACM, (2020)Tuning Code Smell Prediction Models: A Replication Study., , , and . ICPC, page 316-327. ACM, (2024)An exploratory study on the identification and evaluation of bad smell agglomerations., , and . SAC, page 1289-1297. ACM, (2021)An Exploratory Evaluation of Continuous Feedback to Enhance Machine Learning Code Smell Detection., , and . CIbSE, page 76-90. Curran Associates, (2024)Yet Another Model! A Study on Model's Similarities for Defect and Code Smells., , , and . FASE, volume 13991 of Lecture Notes in Computer Science, page 282-305. Springer, (2023)Revisiting the Bad Smell and Refactoring Relationship: A Systematic Literature Review., , , and . CIbSE, page 434-447. Curran Associates, (2020)Estudo experimental, simulação e modelagem do efeito de agitação e mistura no processo da produção de biodiesel de soja (Glycine max) metílico e etílico.. Federal University of Campina Grande, Paraíba, Brazil, (2017)ndltd.org (oai:localhost:riufcg/1469).Assessment of Reversibility for Covalent Cysteine Protease Inhibitors Using Quantum Mechanics/Molecular Mechanics Free Energy Surfaces., , , , , , and . J. Chem. Inf. Model., 62 (17): 4083-4094 (2022)