Model-driven engineering for digital twins: opportunities and challenges
Files
(Published version)
Date
2025
Authors
Michael, J.
Cleophas, L.
Zschaler, S.
Clark, T.
Stumptner, M.
Vangheluwe, H.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Systems Engineering, online, 2025; online(5):1-12
Statement of Responsibility
Conference Name
Abstract
Digital twins are increasingly used across a wide range of industries. Modeling is a key to digital twin development-both when considering the models which a digital twin maintains of its real-world complement ("models in digital twin") and when considering models of the digital twin as a complex (software) system itself. Thus, systematic development and maintenance of these models is a key factor in effective and efficient digital twin development, maintenance, and use. We argue that model-driven engineering (MDE), a field with almost three decades of research, will be essential for improving the efficiency and reliability of future digital twin development. To do so, we present an overview of the digital twin life cycle, identifying the different types of models that should be used and re-used at different life cycle stages (including systems engineering models of the actual system, domain-specific simulation models, models of data processing pipelines, etc.). We highlight some approaches in MDE that can help create and manage these models and present a roadmap for research towards MDE of digital twins.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License. (http://creativecommons.org/licenses/by/4.0/)