AI-Integrated Framework for Enhancing High Level Architecture Design Across System Lifecycle Stages

Tianxiao Xu, Tianxiao Xu, Néjib Moalla, Mohand Lounès Bentaha, Hazal Aktekin, Claudia Agostinelli

2025

Abstract

AI technology is increasingly being introduced into the automotive industry to support the product design process and address the challenges arising from growing product complexity. Systems Engineering is an interdisciplinary approach and methodology aimed at designing, developing, and managing complex systems throughout entire system lifecycle. The development of Model-Based Systems Engineering (MBSE) significantly enhances complexity management and requirement traceability in conceptual design phases. In the design and analysis phases, the use of Multidisciplinary Design Analysis and Optimization (MDAO) effectively addresses challenges in multidisciplinary problems, identifies optimal solutions, and supports decision-making. Digital Twin (DT) technology is extensively studied and applied to monitor, analyse, and predict operational system behaviour. Integrating AI into system design, along with its combination with MBSE, MDAO, and DT technologies, not only addresses design challenges but also creates new opportunities to advance systems engineering. This paper focuses on how high-level architecture design supports different stages of system lifecycle. The study explores the roles AI can play in the process, as well as its integration with related technologies, and proposes an AI-integrated framework to ensure digital continuity throughout system lifecycle stages.

Paper Citation

in Harvard Style

Xu T., Moalla N., Bentaha M., Aktekin H. and Agostinelli C. (2025). AI-Integrated Framework for Enhancing High Level Architecture Design Across System Lifecycle Stages. In Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration; ISBN 978-989-758-729-0, SciTePress, pages 407-419. DOI: 10.5220/0013444200003896

in Bibtex Style

@conference{mbse-ai integration25,
author={Tianxiao Xu and Néjib Moalla and Mohand Bentaha and Hazal Aktekin and Claudia Agostinelli},
title={AI-Integrated Framework for Enhancing High Level Architecture Design Across System Lifecycle Stages},
booktitle={Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration},
year={2025},
pages={407-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013444200003896},
isbn={978-989-758-729-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration
TI - AI-Integrated Framework for Enhancing High Level Architecture Design Across System Lifecycle Stages
SN - 978-989-758-729-0
AU - Xu T.
AU - Moalla N.
AU - Bentaha M.
AU - Aktekin H.
AU - Agostinelli C.
PY - 2025
SP - 407
EP - 419
DO - 10.5220/0013444200003896
PB - SciTePress