MoDDiT 2021: 1 stInternational Workshop on Model-Driven Engineering for Digital Twins

  • F. Bordeleau
  • , Loek Cleophas
  • , Benoit Combemale
  • , R. Eramo
  • , M. van den Brand
  • , Manuel Wimmer
  • , Andreas Wortmann

Research output: Chapter in Book/Report/Conference proceedingConference proceedings

Abstract

Digital twins promise tremendous potential to better understand and make use of cyber-physical systems in automotive, avionics, manufacturing, medicine, and many more domains. Despite many of the twinned systems being developed using models, engineering digital twins currently is ad-hoc and demands integrating different piecemeal technologies, which effectively hinders the application of digital twins. The focus of many digital twins and frameworks to create digital twins is on data acquisition and visualization via dashboards. Current research on digital twins focuses on specific implementations (bottom-up) or abstract models on how digital twins could be conceived (top down). Yet, there is a huge gap between both views that only research on model-driven engineering (MDE) can reduce. Hence, MDE is crucial to fully and systematically leverage the potential of digital twins. Currently, a venue bringing together experts from the modelling community on this topic is missing: ModDIT’21 brings together researchers on and developers of digital twins come together to shape the future of systematically designing, engineering, evolving, maintaining, and evaluating digital twins.
Original languageEnglish
Title of host publicationCompanion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
Pages210-211
Number of pages2
ISBN (Electronic)9781665424844
DOIs
Publication statusPublished - Oct 2021

Fields of science

  • 202017 Embedded systems
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 201132 Computational engineering
  • 201305 Traffic engineering
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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