Blar i NTNU Open på forfatter "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 ... -
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 ...