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A competency question driven approach to conceptual data model design for digital verification and validation
Preview AbstractThis work introduces a data-driven credibility assessment to quantify simulation quality in industrial part re-manufacturing. The framework evaluates the dependability of sources, data, and methodologies, focusing on robustness and uncertainty for data quality and simulation confidence. A conceptual data model, designed using competency questions, maps data requirements, digitalising credibility evaluation and promoting data traceability and accessibility.