Generating customized low-code development platforms for digital twins

A digital twin improves our use of a cyber–physical system and understanding of its emerging behavior. To this effect, a digital twin is to be developed and configured and potentially also operated by domain experts, who rarely have a professional software engineering background and for whom easy ac...

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Published in:Journal of computer languages (Online) Vol. 70; p. 101117
Main Authors: Dalibor, Manuela, Heithoff, Malte, Michael, Judith, Netz, Lukas, Pfeiffer, Jérôme, Rumpe, Bernhard, Varga, Simon, Wortmann, Andreas
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.06.2022
Subjects:
Code generation
Digital twin
Domain-specific languages
Low-code development platform
Model-driven engineering
Model-driven engineering
Code generation
Domain-specific languages
Digital twin
Low-code development platform
ISSN:2590-1184, 2590-1184
Online Access:Get full text
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Abstract A digital twin improves our use of a cyber–physical system and understanding of its emerging behavior. To this effect, a digital twin is to be developed and configured and potentially also operated by domain experts, who rarely have a professional software engineering background and for whom easy access and support, e.g., in form of low-code platforms are missing. In this paper, we report on an integrated method for the model-driven engineering of low-code development platforms for digital twins that enables domain experts to create and operate digital twins for cyber–physical systems using the most appropriate modeling languages. The foundation of this method is (1) a code generation infrastructure for information systems combined with (2) an extensible base architecture for self-adaptive digital twins and (3) reusable language components for their configuration. Using this method, software engineers first configure the information system with the required modeling languages to generate the low-code development platform for digital twins before domain experts leverage the generated platform to create digital twins. This two-step method facilitates creating tailored low-code development platforms as well as creating and operating customized digital twins for a variety of applications.
AbstractList A digital twin improves our use of a cyber–physical system and understanding of its emerging behavior. To this effect, a digital twin is to be developed and configured and potentially also operated by domain experts, who rarely have a professional software engineering background and for whom easy access and support, e.g., in form of low-code platforms are missing. In this paper, we report on an integrated method for the model-driven engineering of low-code development platforms for digital twins that enables domain experts to create and operate digital twins for cyber–physical systems using the most appropriate modeling languages. The foundation of this method is (1) a code generation infrastructure for information systems combined with (2) an extensible base architecture for self-adaptive digital twins and (3) reusable language components for their configuration. Using this method, software engineers first configure the information system with the required modeling languages to generate the low-code development platform for digital twins before domain experts leverage the generated platform to create digital twins. This two-step method facilitates creating tailored low-code development platforms as well as creating and operating customized digital twins for a variety of applications.
ArticleNumber 101117
Author Michael, Judith
Heithoff, Malte
Pfeiffer, Jérôme
Dalibor, Manuela
Rumpe, Bernhard
Varga, Simon
Wortmann, Andreas
Netz, Lukas
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Keywords Model-driven engineering
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Digital twin
Low-code development platform
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Snippet A digital twin improves our use of a cyber–physical system and understanding of its emerging behavior. To this effect, a digital twin is to be developed and...
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StartPage 101117
SubjectTerms Code generation
Digital twin
Domain-specific languages
Low-code development platform
Model-driven engineering
Title Generating customized low-code development platforms for digital twins
URI https://dx.doi.org/10.1016/j.cola.2022.101117
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