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About Opportunities and Challenges in Model-Driven Engineering for Digital Twins - (Extended Abstract)

  • Judith Michael
  • , Loek Cleophas
  • , Steffen Zschaler
  • , Tony Clark
  • , Benoit Combemale
  • , Thomas Godfrey
  • , Djamel Eddine Khelladi
  • , Vinay Kulkarni
  • , Daniel Lehner
  • , Bernhard Rumpe
  • , Manuel Wimmer
  • , Andreas Wortmann
  • , Shaukat Ali
  • , Balbir Barn
  • , Ion Barosan
  • , Nelly Bencomo
  • , Francis Bordeleau
  • , Georg Grossmann
  • , Gabor Karsai
  • , Oliver Kopp
  • Bernhard Mitschang, Paula Muñoz Ariza, Alfonso Pierantonio, Fiona A.C. Polack, Matthias Riebisch, Holger Schlingloff, Markus Stumptner, Antonio Vallecillo, Mark van den Brand, Hans Vangheluwe
  • University of Regensburg
  • TU Eindhoven
  • Stellenbosch University
  • King's College London
  • Aston University
  • Université de Rennes
  • Tata Group India
  • JKU Linz
  • RWTH Aachen University
  • University of Stuttgart
  • Simula Research Laboratory
  • Middlesex University
  • Durham University
  • University of South Australia
  • Vanderbilt University
  • University of Málaga
  • University of L'Aquila
  • University of Hull
  • University of Hamburg
  • Fraunhofer Institute for Open Communication Systems
  • University of Antwerp
  • Flanders Make

Résultats de recherche: Contribution à un journalArticle de conférenceRevue par des pairs

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 originaleAnglais
Pages (de - à)155-156
Nombre de pages2
journalLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
VolumeP-378
étatPublié - 2026
EvénementModellierung 2026 - Bayreuth, Allemagne
Durée: 9 mars 202612 mars 2026

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