Current Trends in Class Imbalance Learning for Software Defect Prediction
Software defect prediction is of high importance to manage the software development efforts by focusing the testing efforts on the fault-prone modules. Imbalanced defect data causes detrimental impact on the performance of software defect predictors. Researchers deployed a diverse range of learning...
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Main Author: | Somya R. Goyal |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10847860/ |
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