Michael, Judith, Cleophas, Loek, Zschaler, Steffen, Clark, Tony, Combemale, Benoit, Godfrey, Thomas, Khelladi, Djamel Eddine, Kulkarni, Vinay, Lehner, Daniel, Rumpe, Bernhard, Wimmer, Manuel, Wortmann, Andreas, Ali, Shaukat, Barn, Balbir, Barosan, Ion, Bencomo, Nelly, Bordeleau, Francis, Grossmann, Georg, Karsai, Gabor, Kopp, Oliver, Mitschang, Bernhard, Ariza, Paula Munoz, Pierantonio, Alfonso, Polack, Fiona A. C., Riebisch, Matthias, Schlingloff, Holger, Stumptner, Markus, Vallecillo, Antonio, van den Brand, Mark et Vangheluwe, Hans.
2025.
« Model-driven engineering for digital twins: Opportunities and challenges ».
Systems Engineering.
(Sous presse)
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Résumé
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 thesemodels 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.
| Type de document: | Article publié dans une revue, révisé par les pairs |
|---|---|
| Professeur: | Professeur Bordeleau, Francis |
| Affiliation: | Génie logiciel et des technologies de l'information |
| Date de dépôt: | 17 avr. 2025 16:08 |
| Dernière modification: | 23 avr. 2025 18:37 |
| URI: | https://espace2.etsmtl.ca/id/eprint/30820 |
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