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Cleophas, Loek [Author]; Godfrey, Thomas [Author]; Khelladi, Djamel Eddine [Author]; Lehner, Daniel [Author]; Combemale, Benoit [Author]; Rumpe, Bernhard [Author]; Zschaler, Steffen [Author] ; Loek Cleophas and Thomas Godfrey and Djamel Eddine Khelladi and Daniel Lehner and Benoit Combemale and Bernhard Rumpe and Steffen Zschaler [Contributor]

Model-Driven Engineering of Digital Twins (Dagstuhl Seminar 22362)

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  • Media type: Text; E-Article
  • Title: Model-Driven Engineering of Digital Twins (Dagstuhl Seminar 22362)
  • Contributor: Cleophas, Loek [Author]; Godfrey, Thomas [Author]; Khelladi, Djamel Eddine [Author]; Lehner, Daniel [Author]; Combemale, Benoit [Author]; Rumpe, Bernhard [Author]; Zschaler, Steffen [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023
  • Language: English
  • DOI: https://doi.org/10.4230/DagRep.12.9.20
  • Keywords: Model Management ; Software Engineering ; Models@runtime ; Digital Twins ; Data Management ; Model-Driven Engineering
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: This report documents the program and the outcomes of Dagstuhl Seminar 22362 "Model-Driven Engineering of Digital Twins". Digital twins are an emerging concept with the potential for revolutionising the way we interact with the physical world. Digital twins can be used for improved analysis and understanding of complex systems as well as for control and transformation of these systems. Digital twins are themselves complex software systems, posing novel software-engineering challenges, which have so far not been sufficiently addressed by the software-engineering research community. The seminar aimed as a key outcome to contribute to a solid research roadmap for the new Software Engineering subdiscipline of Model-Based Development of Digital Twins. This paper is an intermediate result, which is thought to be further discussed in the research community that has also been built using this seminar.
  • Access State: Open Access