Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Digital Twins Verification and Validation Approach Through The Quintuple Helix Conceptual Framework

Version 1 : Received: 22 July 2024 / Approved: 23 July 2024 / Online: 23 July 2024 (12:30:29 CEST)

How to cite: Perisic, A.; Perisic, B. Digital Twins Verification and Validation Approach Through The Quintuple Helix Conceptual Framework. Preprints 2024, 2024071801. https://doi.org/10.20944/preprints202407.1801.v1 Perisic, A.; Perisic, B. Digital Twins Verification and Validation Approach Through The Quintuple Helix Conceptual Framework. Preprints 2024, 2024071801. https://doi.org/10.20944/preprints202407.1801.v1

Abstract

The concept of Digital Twins has been in the field for a long time, constantly challenging the specification, modeling, design, implementation, and exploitation of complex cyber-physical systems. Despite the various foundations, standards, and platforms in Systems Engineering, there are ongoing challenges with Verification and Validation methodology. This study aims to establish a generic framework that addresses the various aspects of Digital Twinning. The multifaceted nature of the problem requires raising the abstraction level in both the Real (Actual) and Virtual domains, effective dissemination of information resources, and a design inspired by verification and validation. The proposed framework combines the Quintuple Helix model with the Problem and Operational Domains of a Real (Actual) Twin, the Solution and Implementation Domains of a Virtual Twin, and the Execution Domain as the bridge that links them. Verification and Validation dimensions follow the Meta Object Facility abstraction layers (Instance, Model, Meta-model, and Meta-meta-model) mapping over five Helices. Embedding the complexity reduction mechanisms in the proposed framework builds a suite for extendible and verifiable digital twinning in simulation and real-time scenarios.

Keywords

Verification; Validation; Digital Twins; System of Systems; Domain Specific Modeling; Verification Frameworks; Helix models; Quintuple Helix Model; Cyber-critical systems; Meta Object Facility

Subject

Computer Science and Mathematics, Computer Science

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