Refactoring Prediction Improvement using Various Feature Selection and Data Sampling Techniques
Author:
Affiliation:
1. GIET University,Department of CSE,Gunupur,India
2. NIT,Department of Computer Engineering,Kurukshetra,Haryana,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10481518/10481530/10481599.pdf?arnumber=10481599
Reference11 articles.
1. A systematic literature survey of software metrics, code smells and refactoring techniques;Agnihotri;Journal of Information Processing Systems,2020
2. A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models
3. Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques
4. Method Level Refactoring Prediction by Weighted-SVM Machine Learning Classifier
5. A novel oversampling and feature selection hybrid algorithm for imbalanced data classification
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