Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal
Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains. Although prior research has proposed frameworks, patterns, and user-centered approaches to support explainability, there is limited empirical understanding of how existing Requirements Engineering (RE) practices support explainability requirements across the RE lifecycle, especially in an industrial context. This paper reports early findings from an ongoing industry-based study investigating how explainability requirements are elicited, specified, and validated usin
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- PossiblePossibly related (embedding) · 48%explainX/explainx →
- LinkedLinked via arxiv author · 85%Umm-e- Habiba →
“Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Pr”
- LinkedLinked via arxiv author · 85%Lucas Mauser →
“Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Pr”
- LinkedLinked via arxiv author · 85%Jonas Fritzsch →
“Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Pr”
- LinkedLinked via arxiv author · 85%Justus Bogner →
“Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Pr”
- LinkedLinked via arxiv author · 85%Stefan Wagner →
“Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Pr”