An interview study with ten practitioners finds that non-explainable AI-generated design artifacts in requirements engineering cause manual-validation overhead, trust loss, and compliance risk, and identifies the explainability features practitioners want.
Challenges of working with artifacts in require- ments engineering and software engineering,
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Explainability as a Compliance Requirement: What Regulated Industries Need from AI Tools for Design Artifact Generation
An interview study with ten practitioners finds that non-explainable AI-generated design artifacts in requirements engineering cause manual-validation overhead, trust loss, and compliance risk, and identifies the explainability features practitioners want.