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...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2024-02-01
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| シリーズ: | PeerJ Computer Science |
| 主題: | |
| オンライン･アクセス: | https://peerj.com/articles/cs-1860.pdf |
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