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http://lrcdrs.bennett.edu.in:80/handle/123456789/1907| Title: | A Review on Machine-Learning Based Code Smell Detection Techniques in Object-Oriented Software System(s) |
| Authors: | Goel, Shivani |
| Keywords: | Code smells anti-patterns machine learning, software maintenance, |
| Issue Date: | 20-Sep-2020 |
| Publisher: | Bentham science |
| Abstract: | Code smells are symptoms that something may be wrong in software systems that can cause complications in maintaining software quality. In literature, there exist many code smells and their identification is far from trivial. Thus, several techniques have also been proposed to automate code smell detection in order to improve software quality. |
| URI: | http://lrcdrs.bennett.edu.in:80/handle/123456789/1907 |
| Appears in Collections: | Conference Proceedings_ SCSET |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| (Shivani Goel) A Review on Machine-Learning Based Code Smell Detection Techniques in OOOS Amandeep paper.pdf Restricted Access | Journal paper | 694.72 kB | Adobe PDF | View/Open Request a copy |
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