Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach - Artificial Intelligence for Sustainable and Resilient Production Systems PART IV, IFIP WG 5.7 International Conference, APMS 2021 Access content directly
Conference Papers Year : 2021

Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach

Abstract

Digital Twins in smart manufacturing must be highly adaptable for different challenges, environments, and system states. In practice, there is a need for enabling the configuration of Digital Twins by domain experts. Low-code approaches seem to be a meaningful solution for configuration purposes but often lack extension options. We propose a model-driven low-code approach for the configuration and reconfiguration of Digital Twins using language plugins. This approach uses model-driven software engineering and software language engineering methods to derive a configurable digital twin implementation. Moreover, we discuss some remaining challenges such as interoperability, language modularity, evolution, integration of assistive services, collaborative development, and web-based debugging.
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hal-04030402 , version 1 (16-03-2023)

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Judith Michael, Andreas Wortmann. Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.333-341, ⟨10.1007/978-3-030-85874-2_35⟩. ⟨hal-04030402⟩
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