Reliable counterparts : efficiently testing causal relationships in digital twins

Somers, R.J., Clark, A.G., Walkinshaw, N. et al. (1 more author) (Accepted: 2022) Reliable counterparts : efficiently testing causal relationships in digital twins. In: ACM / IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS). 2nd International Workshop on Model-Driven Engineering of Digital Twins (ModDiT’22), 23-28 Oct 2022, Montreal, Canada. Association for Computing Machinery . (In Press)

Abstract

Metadata

Authors/Creators:
  • Somers, R.J.
  • Clark, A.G.
  • Walkinshaw, N.
  • Hierons, R.M.
Copyright, Publisher and Additional Information: © 2022 Association for Computing Machinery.
Keywords: digital twin; causal inference; testing; fault localisation; cyber-physical system
Dates:
  • Accepted: 19 August 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research CouncilEP/T030526/1
Depositing User: Symplectic Sheffield
Date Deposited: 16 Sep 2022 11:02
Last Modified: 20 Sep 2022 10:18
Status: In Press
Publisher: Association for Computing Machinery
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