Explainable AI for Software Reliability: A Three-Dataset Benchmark of Defect, Incident-Severity and Change-Failure Prediction
In this study, three software reliability tasks are considered: predicting defect prone modules, software incidents severity classification, and predicting deployment change failures, and explainable artificial intelligence (XAI) is studied for those tasks. For four explicitly synthetic tabular datasets with 2,400 data...