Browsing Institutt for vareproduksjon og byggteknikk by Author "Rao, Rajwant Singh"
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An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection
Yadav, Pravin Singh; Rao, Rajwant Singh; Mishra, Alok (Journal article; Peer reviewed, 2024)(1) Background: Code smell is the most popular and reliable method for detecting potential errors in code. In real-world circumstances, a single source code may have multiple code smells. Multi-label code smell detection ... -
Machine Learning-Based Methods for Code Smell Detection: A Survey
Yadav, Pravin Singh; Rao, Rajwant Singh; Mishra, Alok; Gupta, Manjari (Journal article; Peer reviewed, 2024)Code smells are early warning signs of potential issues in software quality. Various techniques are used in code smell detection, including the Bayesian approach, rule-based automatic antipattern detection, antipattern ... -
A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique
Rao, Rajwant Singh; Dewangan, Seema; Mishra, Alok; Gupta, Manjari (Peer reviewed; Journal article, 2023)Detecting code smells may be highly helpful for reducing maintenance costs and raising source code quality. Code smells facilitate developers or researchers to understand several types of design flaws. Code smells with ...