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

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

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	155-156
Number of pages	2
Journal	Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Volume	P-378
Publication status	Published - 2026
Event	Modellierung 2026 - Bayreuth, Germany Duration: 9 Mar 2026 → 12 Mar 2026

!!!Keywords

Cyber-Physical Systems
Digital Twin
Model-Driven Engineering
Systems Engineering

Cite this

Michael, J., Cleophas, L., Zschaler, S., Clark, T., Combemale, B., Godfrey, T., Khelladi, D. E., Kulkarni, V., Lehner, D., Rumpe, B., Wimmer, M., Wortmann, A., Ali, S., Barn, B., Barosan, I., Bencomo, N., Bordeleau, F., Grossmann, G., Karsai, G., ... Vangheluwe, H. (2026). About Opportunities and Challenges in Model-Driven Engineering for Digital Twins - (Extended Abstract). Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), P-378, 155-156.

@article{b113e601267c40218eaa46eceaecd06d,

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

abstract = "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.",

keywords = "Cyber-Physical Systems, Digital Twin, Model-Driven Engineering, Systems Engineering",

author = "Judith Michael and Loek Cleophas and Steffen Zschaler and Tony Clark and Benoit Combemale and Thomas Godfrey and Khelladi, \{Djamel Eddine\} and Vinay Kulkarni and Daniel Lehner and Bernhard Rumpe and Manuel Wimmer and Andreas Wortmann and Shaukat Ali and Balbir Barn and Ion Barosan and Nelly Bencomo and Francis Bordeleau and Georg Grossmann and Gabor Karsai and Oliver Kopp and Bernhard Mitschang and Ariza, \{Paula Mu{\~n}oz\} and Alfonso Pierantonio and Polack, \{Fiona A.C.\} and Matthias Riebisch and Holger Schlingloff and Markus Stumptner and Antonio Vallecillo and \{van den Brand\}, Mark and Hans Vangheluwe",

year = "2026",

language = "English",

volume = "P-378",

pages = "155--156",

journal = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",

issn = "1617-5468",

publisher = "Gesellschaft fur Informatik (GI)",

}

Michael, J, Cleophas, L, Zschaler, S, Clark, T, Combemale, B, Godfrey, T, Khelladi, DE, Kulkarni, V, Lehner, D, Rumpe, B, Wimmer, M, Wortmann, A, Ali, S, Barn, B, Barosan, I, Bencomo, N, Bordeleau, F, Grossmann, G, Karsai, G, Kopp, O, Mitschang, B, Ariza, PM, Pierantonio, A, Polack, FAC, Riebisch, M, Schlingloff, H, Stumptner, M, Vallecillo, A, van den Brand, M & Vangheluwe, H 2026, 'About Opportunities and Challenges in Model-Driven Engineering for Digital Twins - (Extended Abstract)', Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), vol. P-378, pp. 155-156.

About Opportunities and Challenges in Model-Driven Engineering for Digital Twins - (Extended Abstract). / Michael, Judith; Cleophas, Loek; Zschaler, Steffen et al.
In: Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), Vol. P-378, 2026, p. 155-156.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - About Opportunities and Challenges in Model-Driven Engineering for Digital Twins - (Extended Abstract)

AU - Michael, Judith

AU - Cleophas, Loek

AU - Zschaler, Steffen

AU - Clark, Tony

AU - Combemale, Benoit

AU - Godfrey, Thomas

AU - Khelladi, Djamel Eddine

AU - Kulkarni, Vinay

AU - Lehner, Daniel

AU - Rumpe, Bernhard

AU - Wimmer, Manuel

AU - Wortmann, Andreas

AU - Ali, Shaukat

AU - Barn, Balbir

AU - Barosan, Ion

AU - Bencomo, Nelly

AU - Bordeleau, Francis

AU - Grossmann, Georg

AU - Karsai, Gabor

AU - Kopp, Oliver

AU - Mitschang, Bernhard

AU - Ariza, Paula Muñoz

AU - Pierantonio, Alfonso

AU - Polack, Fiona A.C.

AU - Riebisch, Matthias

AU - Schlingloff, Holger

AU - Stumptner, Markus

AU - Vallecillo, Antonio

AU - van den Brand, Mark

AU - Vangheluwe, Hans

PY - 2026

Y1 - 2026

N2 - 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.

AB - 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.

KW - Cyber-Physical Systems

KW - Digital Twin

KW - Model-Driven Engineering

KW - Systems Engineering

UR - https://www.scopus.com/pages/publications/105045839902

M3 - Conference article

AN - SCOPUS:105045839902

SN - 1617-5468

VL - P-378

SP - 155

EP - 156

JO - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

JF - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

T2 - Modellierung 2026

Y2 - 9 March 2026 through 12 March 2026

ER -

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

Abstract

!!!Keywords

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