Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective

We explore the interpretability and explainability of machine learning software defect prediction models in the context of commercial system-level testing in Nokia 5G. We evaluate how they can gain stakeholders’ acceptance, analyze expectations, offer management strategies, and identify business impacts.