Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
Effective software defect prediction is a crucial aspect of software quality assurance, enabling the identification of defective modules before the testing phase. This study aims to propose a comprehensive five-stage framework for software defect prediction, addressing the current challenges in the...
| Published in: | PEERJ COMPUTER SCIENCE |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
PEERJ INC
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001174202200001 |