Conceptualizing Digital Twins

Romina Eramo; Francis Bordeleau; Benoit Combemale; Mark van den Brand; Manuel Wimmer; Andreas Wortmann

doi:10.1109/MS.2021.3130755

Conceptualizing Digital Twins

Romina Eramo
, Francis Bordeleau
, Benoit Combemale
, Mark van den Brand
, Manuel Wimmer
, Andreas Wortmann

Software Engineering and Technology

Research output: Contribution to journal › Article › Academic › peer-review

90 Citations (Scopus)

310 Downloads (Pure)

Abstract

Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twinâs entire lifecycle.

Original language	English
Pages (from-to)	39-46
Number of pages	8
Journal	IEEE Software
Volume	39
Issue number	2
Early online date	24 Nov 2021
DOIs	https://doi.org/10.1109/MS.2021.3130755
Publication status	Published - 1 Mar 2022

Keywords

Adaptation models
Analytical models
Biological system modeling
Conceptual Modeling Framework
Data models
Digital twin
Digital Twin
Model Types
Predictive models
Unified modeling language

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Cite this

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AU - Wortmann, Andreas

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KW - Biological system modeling

KW - Conceptual Modeling Framework

KW - Data models

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KW - Digital Twin

KW - Model Types

KW - Predictive models

KW - Unified modeling language

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Conceptualizing Digital Twins

Abstract

Keywords

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