Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method
The quality of source code is negatively impacted by code smells. Since the term "code smell" originated, numerous attempts have been made to comprehend it by identifying it using various techniques, such as metric-based, heuristic-based, optimization-based, machine learning (ML)-based, et...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Croatian Communications and Information Society (CCIS)
2024-12-01
|
| Series: | Journal of Communications Software and Systems |
| Subjects: | |
| Online Access: | https://jcoms.fesb.unist.hr/10.24138/jcomss-2024-0083/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|