Empowering Industry 4.0 with Generative and Model-Driven SDK Development
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Industry 4.0 developers need high-quality libraries in their preferred programming languages to efficiently and ergonomically create, edit and exchange digital twins as Asset Administration Shell (AAS). Existing specifications of the AAS can not be directly translated into programming code. This leads to many, often manual, re-implementations of the AAS in different projects and programming languages. We present an approach for automatic generation of software libraries based on the formalized AAS meta-model. This shows that the development with our approach is 5× faster for a new language and 10× faster for a new version of the AAS meta-model, respectively.
Details
Originalsprache | Englisch |
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Titel | IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society |
Herausgeber (Verlag) | IEEE |
Seiten | 1-6 |
Seitenumfang | 6 |
ISBN (elektronisch) | 9798350331820 |
ISBN (Print) | 979-8-3503-3183-7 |
Publikationsstatus | Veröffentlicht - 19 Okt. 2023 |
Peer-Review-Status | Ja |
Konferenz
Titel | 49th Annual Conference of the IEEE Industrial Electronics Society |
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Kurztitel | IECON 2023 |
Veranstaltungsnummer | 49 |
Dauer | 16 - 19 Oktober 2023 |
Webseite | |
Ort | Marina Bay Sands Expo and Convention Centre |
Stadt | Singapore |
Land | Singapur |
Externe IDs
Scopus | 85179504412 |
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ORCID | /0009-0000-2432-5529/work/153655003 |
ORCID | /0000-0002-4646-4455/work/163764050 |
Schlagworte
Schlagwörter
- Codes, Computer languages, Fourth Industrial Revolution, Industrial electronics, Manuals, Programming, Software libraries