Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …
source code that often lead it to be more change-and fault-prone. Researchers defined …
[PDF][PDF] Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
MI Azeem, F Palomba, L Shi… - Information and Software …, 2019 - drive.google.com
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and faultprone. Researchers defined …
source code that often lead it to be more change-and faultprone. Researchers defined …
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
MI Azeem, F Palomba, L Shi, Q Wang - Information and Software …, 2019 - hero.epa.gov
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …
source code that often lead it to be more change-and fault-prone. Researchers defined …
[引用][C] Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
MI Azeem, F Palomba, L Shi… - Information and software …, 2019 - dialnet.unirioja.es
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
MI Azeem, F Palomba, L Shi, Q Wang - Information and Software …, 2019 - Elsevier
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …
source code that often lead it to be more change-and fault-prone. Researchers defined …