Empowering Industry 4.0 with Generative and Model-Driven SDK Development

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

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

OriginalspracheEnglisch
TitelIECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
Herausgeber (Verlag)IEEE
Seiten1-6
Seitenumfang6
ISBN (elektronisch)9798350331820
ISBN (Print)979-8-3503-3183-7
PublikationsstatusVeröffentlicht - 19 Okt. 2023
Peer-Review-StatusJa

Konferenz

Titel49th Annual Conference of the IEEE Industrial Electronics Society
KurztitelIECON 2023
Veranstaltungsnummer49
Dauer16 - 19 Oktober 2023
Webseite
OrtMarina Bay Sands Expo and Convention Centre
StadtSingapore
LandSingapur

Externe IDs

Scopus 85179504412
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