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AI-Augmented Model-Based Capabilities in the AIDOaRt Project: Continuous Development of Cyber-physical Systems
Softeam, Docaposte Groupe, France.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Johannes Kepler University, Linz, Austria.ORCID iD: 0000-0003-0416-1787
Johannes Kepler University, Linz, Austria.
IMT Atlantique, LS2N (UMR CNRS 6004), France.
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2022 (English)In: Ada User Journal, ISSN 1381-6551, Vol. 43, no 4, p. 230-234Article in journal (Refereed) Published
Abstract [en]

The 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 model-based capabilities requirements from the project.

Place, publisher, year, edition, pages
Ada-Europe , 2022. Vol. 43, no 4, p. 230-234
Keywords [en]
Artificial Intelligence, Cyber-Physical Systems, Development Operations, Model-Based Engineering, Embedded systems, Continuous development, Cybe-physical systems, Development operation, Engineering techniques, European program, Model development, Model-based OPC, Model-driven Engineering, Cyber Physical System
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-62584DOI: 10.1145/3591335.3591349Scopus ID: 2-s2.0-85159001518OAI: oai:DiVA.org:mdh-62584DiVA, id: diva2:1760574
Available from: 2023-05-30 Created: 2023-05-30 Last updated: 2023-05-30Bibliographically approved

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Cicchetti, Antonio

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