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

TL;DR

This paper proposes a comprehensive framework for testing, evaluating, verifying, and validating digital twins to ensure their accuracy, reliability, and ethical deployment in complex system modeling.

Contribution

It introduces a novel TEVV framework specifically designed for digital twins, addressing their unique challenges and ensuring trustworthy implementation.

Findings

Framework addresses accuracy and reliability challenges

Enhances trustworthiness of digital twins in decision-making

Supports ethical and reliable deployment

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.