Résumé
Modelling is essential in the engineering of digital twins: A digital twin includes models and data representing the real-world entity ('models in digital twins') and models describing and operating the digital twin as a software system ('models of digital twins'). Consequently, we need to systematically develop and manage these different kinds of models over time. Model-driven Engineering (MDE) offers methods to address these challenges. Here, we provide an overview of the article'Model-Driven Engineering for Digital Twins: Opportunities and Challenges' [Mi25], published in the INCOSE Systems Engineering journal. It summarizes outcomes from the Dagstuhl Seminar 22362'Model-Driven Engineering of Digital Twins' and provides insights into the digital twin life cycle, the use and re-use of different model kinds across life cycle stages, and a research roadmap covering six key aspects of digital twin research using MDE.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 155-156 |
| Nombre de pages | 2 |
| journal | Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) |
| Volume | P-378 |
| état | Publié - 2026 |
| Evénement | Modellierung 2026 - Bayreuth, Allemagne Durée: 9 mars 2026 → 12 mars 2026 |
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