Predicting Software Perfection Through Advanced Models to Uncover and Prevent Defects
Software defect prediction is a critical task in software engineering, enabling organizations to proactively identify and address potential issues in software systems, thereby improving quality and reducing costs. In this study, we evaluated and compared various machine learning models, including lo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | IET Software |
| Online Access: | http://dx.doi.org/10.1049/sfw2/8832164 |
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