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A qualitative study on XAI techniques for Software Defect Prediction
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DOI：10.1016/j.infsof.2026.108234.png)
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Abstract
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• Reviews 93 XAI studies for software defect prediction. • Evaluates agreement and disagreement among XAI techniques. • Combines qualitative, statistical, and practitioner analyses. • Identifies usability and trust challenges in XAI adoption. • Proposes agreement-aware evaluation for reliable SDP explanations.
Keywords:
Software maintenance
Empirical
Machine learning
Software engineering
Defect prediction
Explainability
Explainable Artificial Intelligence
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