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A community-sourced view on engineering digital twins: a report from the EDT.Community

  • Loek Cleophas
  • , Thomas Godfrey
  • , Djamel Eddine Khelladi
  • , Daniel Lehner
  • , Benoît Combemale
  • , Mark van den Brand
  • , Michael Vierhauser
  • , Manuel Wimmer
  • , Steffen Zschaler

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

Digital Twins are an important concept, enabling what-if scenario exploration, predictive maintenance, and other approaches. They help in saving time and physical resources when developing and evolving systems, whether natural or engineered. However, constructing and maintaining digital twins is a challenging engineering task-and, to date, there is a lack of understanding of the engineering techniques and methodologies required. To address these challenges, we created EDT.Community, a programme of seminars on the engineering of digital twins hosting digital twins experts from academia and industry. In this paper, we report on the main topics of discussion from the first year of the programme. We contribute by providing (1) a common understanding of open challenges in research and practice of the engineering of digital twins, and (2) an entry point to researchers who aim to close gaps in the current state of the art.

Originele taal-2Engels
TitelMODELS '22
SubtitelProceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc.
Pagina's481-485
Aantal pagina's5
ISBN van elektronische versie978-1-4503-9467-3
DOI's
StatusGepubliceerd - 9 nov. 2022
Evenement25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 - Montreal, Canada
Duur: 23 okt. 202228 okt. 2022

Congres

Congres25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022
Land/RegioCanada
StadMontreal
Periode23/10/2228/10/22

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