date:: 06/2022
issn:: 25901184
doi:: 10.1016/j.cola.2022.101117
title:: @Generating customized low-code development platforms for digital twins
pages:: 101117
volume:: 70
item-type:: [[journalArticle]]
access-date:: 2023-05-17T09:25:37Z
original-title:: Generating customized low-code development platforms for digital twins
language:: en
url:: https://linkinghub.elsevier.com/retrieve/pii/S2590118422000235
publication-title:: Journal of Computer Languages
journal-abbreviation:: Journal of Computer Languages
authors:: [[Manuela Dalibor]], [[Malte Heithoff]], [[Judith Michael]], [[Lukas Netz]], [[Jérôme Pfeiffer]], [[Bernhard Rumpe]], [[Simon Varga]], [[Andreas Wortmann]]
library-catalog:: DOI.org (Crossref)
links:: [Local library](zotero://select/library/items/2G9ZM7Q5), [Web library](https://www.zotero.org/users/1039502/items/2G9ZM7Q5)

- [[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 modeldriven 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.
- [[Attachments]]
	- [Dalibor et al. - 2022 - Generating customized low-code development platfor.pdf](zotero://select/library/items/GNUXUQ5P) {{zotero-imported-file GNUXUQ5P, "Dalibor et al. - 2022 - Generating customized low-code development platfor.pdf"}}