Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework

2025/07/06 by Waters, Gabriella
#FOS: Computer and information sciences #Software Engineering (cs.SE)

paper · doi:10.48550/arxiv.2507.04555

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.

Citations

• Formal Verification of Digital Twins with TLA and Information Leakage Control
• Foundations for Digital Twins
• Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems
• A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
• Review of digital twin about concepts, technologies, and industrial applications
• Digital Twin: Enabling Technologies, Challenges and Open Research
• Characterising the Digital Twin: A systematic literature review

Related

• Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
• The Composition of Digital Twins for Systems-of-Systems: a Systematic Literature Review
• Current trends in digital twin development, maintenance, and operation: an interview study
• Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
• Revisiting Digital Twins: Origins, Fundamentals and Practices