Dimensionally Reduction based Machine Learning Approaches for Code smells Detection
Author:
Affiliation:
1. Computer Science & Information Technology, Guru Ghasidas Vishwavidyalaya,Bilaspur,CG,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9862308/9862027/09862030.pdf?arnumber=9862030
Reference14 articles.
1. Extraction of Prediction Rules of Code Smell using Decision Tree Algorithm
2. Code Smell Detection Using Classification Approaches
3. Crowdsmelling: A preliminary study on using collective knowledge in code smells detection
4. A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class
5. Severity classification of software code smells using machine learning techniques: A comparative study
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1. Machine Learning-Based Methods for Code Smell Detection: A Survey;Applied Sciences;2024-07-15
2. A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique;Scientific Reports;2023-09-27
3. Severity Classification of Code Smells Using Machine-Learning Methods;SN Computer Science;2023-07-29
4. Method-Level Code Smells Detection Using Machine Learning Models;Computational Intelligence in Pattern Recognition;2023
5. Feature reduction techniques based code smell prediction;i-manager’s Journal on Software Engineering;2022
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