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 |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190276232&doi=10.7717%2fpeerj-cs.1860&partnerID=40&md5=2d75fed0160d49f179045f7ff813eafc |