Empowering Industry 4.0 with Generative and Model-Driven SDK Development
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-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 language | English |
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Title of host publication | IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (electronic) | 9798350331820 |
ISBN (print) | 979-8-3503-3183-7 |
Publication status | Published - 19 Oct 2023 |
Peer-reviewed | Yes |
Conference
Title | 49th Annual Conference of the IEEE Industrial Electronics Society |
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Abbreviated title | IECON 2023 |
Conference number | 49 |
Duration | 16 - 19 October 2023 |
Website | |
Location | Marina Bay Sands Expo and Convention Centre |
City | Singapore |
Country | Singapore |
External IDs
Scopus | 85179504412 |
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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