Bridging Knowledge Gaps: A Requirement Elicitation Use case for Digitalizing Calibration Certificates

Anjali Sharma, Niharika Bhatia

Abstract

Digitalization in metrology is not merely substituting manual processes with software but also incorporating the tactical knowledge of experts into digital systems. This use case explores the application of structured knowledge elicitation methods—such as unified modeling language (UML) diagrams, decision trees, and iterative feedback loops—to formally elicit the tacit knowledge of metrologists and integrate it into a digital system. For example, a calibration certificate typically records the measured value of an instrument, its associated uncertainty, and the date of calibration. These models, combined with cooperative sessions and iterative feedback loops, help translate tacit knowledge into well-defined workflows, ensuring that the resulting system maintains technical accuracy and expert insights. It also helps in ensuring accuracy, regulatory compliance, and stakeholder trust in the digital evolution of metrology.

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IMEKO-TC6-2025-041.pdf

DOI

10.21014/tc6-2025.041

IMEKO TC

TC6 - Digitalization

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