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Rank-based univariate feature selection methods on machine learning classifiers for code smell detection

, and . Evolutionary Intelligence, (Jan 3, 2021)
DOI: 10.1007/s12065-020-00536-z

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Enhancing Data Flow Testing of Classes through Design by Contract., and . ACIS-ICIS, page 567-574. IEEE Computer Society, (2008)Boosting and Comparing Performance of Machine Learning Classifiers with Meta-heuristic Techniques to Detect Code Smell., and . e Informatica Softw. Eng. J., 18 (1): 240107 (2024)Prediction of testability using the design metrics for object-oriented software., and . Int. J. Comput. Appl. Technol., 44 (1): 12-22 (2012)WSEMQT: a novel approach for quality-based evaluation of web data sources for a data warehouse., , and . IET Softw., 14 (7): 806-815 (2020)Weighted k-nearest neighbor based data complexity metrics for imbalanced datasets, , and . Statistical Analysis and Data Mining: The ASA Data Science Journal, 13 (4): 394--404 (2020)An Empirical Study on Research and Developmental Opportunities in Refactoring Practices., and . SEKE, page 313-418. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2019)Rank-based univariate feature selection methods on machine learning classifiers for code smell detection, and . Evolutionary Intelligence, (Jan 3, 2021)A Metric-Based Approach to Assess Class Testability., and . XP, volume 9 of Lecture Notes in Business Information Processing, page 224-225. Springer, (2008)Enhancing Usability Inspection Through Data-Mining Techniques: An Automated Approach for Detecting Usability Problem Patterns of Academic Websites., and . IHCI, volume 10127 of Lecture Notes in Computer Science, page 229-247. Springer, (2016)