Digital Twins for Verification and Validation of CPS

Abstract: This paper proposes standardizing the usage and practices of Digital Twins (DTs) for the seamless digital-tophysical transition of Cyber-Physical Systems (CPS) to assure their safety. It recommends adopting Artificial Intelligence (AI) methods and following Requirements Engineering principles (RE) for strong Verification and Validation (V&V) processes. DTs offer numerous advantages in various industries, but there is significant ambiguity over their definitions and meanings, leading to a lack of knowledge about standards and best practices. The research aims to identify potential areas for development by examining current practices along with challenges encountered by practitioners via interviews when employing DTS with CPS, and proposing better practices or guidelines for building and maintaining DTs. This study can significantly elevate DT adaptation in many work environments by preventing safety, ethical or privacy gaps and ensuring successful performance and widespread acceptability across various sectors with this standardization step.