Publication
Title
Improving digital twin experience reports
Author
Abstract
Digital twins (DTs) are prevalent throughout industrial domains as evidenced by the rapid pace of experience reports in the literature. However, there remains disagreement about the precise definition of a DT and the essential characteristics in the DT paradigm, such as the scope of the system-under-study and the time-scale of its communication with the DT. These experience reports could therefore be hampering further classification and research insights by not reporting all of these relevant details about the DT solutions. We address these concerns by providing a conceptual structure for DTs as a common understanding and checklist for researchers and practitioners to precisely describe the characteristics and capabilities of their DT solutions. We express five experience reports using our structure to demonstrate its applicability and role as a guideline to improve the reporting of characteristics and increase the clarity of future experience reports.
Language
English
Source (book)
Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development
Publication
2021
ISBN
978-989-758-487-9
DOI
10.5220/0010236101790190
Volume/pages
(2021) , p. 179-190
ISI
000662840600016
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Next level mutation testing: fewer, smarter & faster (NEXT-O-TEST).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 05.05.2021
Last edited 02.10.2024
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