An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection
Author:
Affiliation:
1. Department of Computer Science and Information Technology, Guru Ghasidas Vishwavidyalaya Bilaspur, Bilaspur, India
2. Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10496680.pdf?arnumber=10496680
Reference41 articles.
1. Comparison of Multi-Label Classification Algorithms for Code Smell Detection
2. Comparative Study on Various Techniques Used in Examination System A Survey
3. Software Product Quality Metrics: A Systematic Mapping Study
4. JSpIRIT: a flexible tool for the analysis of code smells
5. Poster: Machine learning based code smell detection through WekaNose;Azadi
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