Empowering Industry 4.0 with Generative and Model-Driven SDK Development

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

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

Original languageEnglish
Title of host publicationIECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
Pages1-6
Number of pages6
ISBN (electronic)9798350331820
ISBN (print)979-8-3503-3183-7
Publication statusPublished - 19 Oct 2023
Peer-reviewedYes

Conference

Title49th Annual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON 2023
Conference number49
Duration16 - 19 October 2023
Website
LocationMarina Bay Sands Expo and Convention Centre
CitySingapore
CountrySingapore

External IDs

Scopus 85179504412
ORCID /0009-0000-2432-5529/work/153655003
ORCID /0000-0002-4646-4455/work/163764050

Keywords

Keywords

  • Codes, Computer languages, Fourth Industrial Revolution, Industrial electronics, Manuals, Programming, Software libraries