Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework
July 06, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Gabriella Waters
arXiv ID
2507.04555
Category
cs.SE: Software Engineering
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Digital twins have emerged as a powerful technology for modeling and simulating complex systems across various domains (Fuller et al., 2020; Tao et al., 2019). As virtual representations of physical assets, processes, or systems, digital twins enable real-time monitoring, predictive analysis, and optimization. However, as digital twins become more sophisticated and integral to decision-making processes, ensuring their accuracy, reliability, and ethical implementation is essential. This paper presents a comprehensive framework for the Testing, Evaluation, Verification and Validation (TEVV) of digital twins to address the unique challenges posed by these dynamic and complex virtual models.
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