Towards Automating Model-Based Systems Engineering in Industry - An Experience Report
In: The 18th Annual IEEE International Systems Conference (SYSCON 2024) ; https://hal.science/hal-04448172 ; The 18th Annual IEEE International Systems Conference (SYSCON 2024), Apr 2024, Montreal, Canada, 2024
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Zugriff:
International audience ; Designing modern Cyber-Physical Systems (CPSs) is posing new challenges to both industrial practitioners and academics. In this context, adopting cutting-edge paradigms, such as Model-Based Systems Engineering (MBSE), DevOps, and Artificial Intelligence (AI), can offer new opportunities for improving CPS design automation. While such paradigms are already jointly used in the research community to support system design activities, there is a need to fill the gap between academia and industrial practitioners. Indeed, system specification is still mainly performed manually in many industrial projects. In this paper, we present a collaboration between industrial and academic partners of the AIDOaRt European project towards a model-based approach for CPS engineering applied in one of the project use cases. We identify key challenges and corresponding solutions to enhance the automation of CPS design processes. Notably, we consider a combination of prescriptive modeling, model transformations, model views, modeling process mining, and AIbased modeling recommendations. As an initial evaluation, the proposed approach is applied to a practical industrial case study.
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Towards Automating Model-Based Systems Engineering in Industry - An Experience Report
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Autor/in / Beteiligte Person: | Cederbladh, Johan ; Berardinelli, Luca ; Bruneliere, Hugo ; Cicchetti, Antonio ; Dehghani, Mohammadhadi ; Di Sipio, Claudio ; Pontes Miranda, James ; Rahimi, Abbas ; Rubei, Riccardo ; Suryadevara, Jagadish ; Mälardalen University (MDH) ; University of Linz - Johannes Kepler Universität Linz (JKU) ; NaoMod - Nantes Software Modeling Group (LS2N - équipe NaoMod) ; Laboratoire des Sciences du Numérique de Nantes (LS2N) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique) ; Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-NANTES UNIVERSITÉ - École Centrale de Nantes (Nantes Univ - ECN) ; Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST) ; Nantes Université - pôle Sciences et technologie ; Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie ; Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique) ; Nantes Université (Nantes Univ) ; Département Automatique, Productique et Informatique (IMT Atlantique - DAPI) ; IMT Atlantique (IMT Atlantique) ; Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) ; Università degli Studi dell'Aquila = University of L'Aquila (UNIVAQ) ; Volvo Construction Equipment ; European Project: 101007350,AIDOaRt |
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Zeitschrift: | The 18th Annual IEEE International Systems Conference (SYSCON 2024) ; https://hal.science/hal-04448172 ; The 18th Annual IEEE International Systems Conference (SYSCON 2024), Apr 2024, Montreal, Canada, 2024 |
Veröffentlichung: | HAL CCSD, 2024 |
Medientyp: | Konferenz |
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