Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach
Numerous feature selection (FS) techniques have been widely applied in Software Engineering (SE) to improve the predictive performance of machine learning (ML) models. However, the consistency of these FS techniques, i.e., their ability to select stable features under various data changes, remains u...
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| Main Authors: | , , , , |
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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/10955380/ |
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