Blar i NTNU Open på forfatter "Yadav, Pravin 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 ...