Abstract
he paper presents the AIDOaRT project, a 3 years long H2020-ECSEL European project involving 32 organizations, grouped in clusters from 7 different countries, focusing on AI-augmented automation supporting modeling, coding, testing, monitoring, and continuous development in Cyber-Physical Systems (CPS). To this end, the project proposes to combine Model Driven Engineering principles and techniques with AI-enhanced methods and tools for engineering more trustable and reliable CPSs. This paper introduces the AIDOaRt project, its overall objectives, and used requirement engineering methodology. Based on that, it also focuses on describing the current plan regarding a set of tools intended to cover the modelbased capabilities requirements from the project.
| Originalsprache | Englisch |
|---|---|
| Titel | DeCPS 2022, co-located with the 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022), June 17, 2022, Ghent, Belgium. |
| Seitenumfang | 5 |
| Publikationsstatus | Veröffentlicht - Dez. 2023 |
Wissenschaftszweige
- 102006 Computer Supported Cooperative Work (CSCW)
- 102015 Informationssysteme
- 102016 IT-Sicherheit
- 102020 Medizinische Informatik
- 102022 Softwareentwicklung
- 102027 Web Engineering
- 102034 Cyber-Physical Systems
- 509026 Digitalisierungsforschung
- 502032 Qualitätsmanagement
- 502050 Wirtschaftsinformatik
- 503015 Fachdidaktik Technische Wissenschaften
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Abgeschlossen
-
AIDOaRt: AI-augmented DevOps, a model-based framework for continuous development At RunTime for CPSs
Berardinelli, L. (Forscher*in) & Wimmer, M. (Projektleiter*in)
01.04.2021 → 30.09.2024
Projekt: Geförderte Forschung › EU - Europäische Union
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