Semantic Scholar Open Access 2022 54 sitasi

Generating customized low-code development platforms for digital twins

M. Dalibor Malte Heithoff Judith Michael Lukas Netz Jérôme Pfeiffer +3 lainnya

Abstrak

—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.

Topik & Kata Kunci

Penulis (8)

M

M. Dalibor

M

Malte Heithoff

J

Judith Michael

L

Lukas Netz

J

Jérôme Pfeiffer

B

Bernhard Rumpe

S

S. Varga

A

A. Wortmann

Format Sitasi

Dalibor, M., Heithoff, M., Michael, J., Netz, L., Pfeiffer, J., Rumpe, B. et al. (2022). Generating customized low-code development platforms for digital twins. https://doi.org/10.1016/j.cola.2022.101117

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
54×
Sumber Database
Semantic Scholar
DOI
10.1016/j.cola.2022.101117
Akses
Open Access ✓