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V-AUTOSAR: Graphical Modeling Language for AUTOSAR Architecture and Resource Modeling

  • Yilong Yang
  • , Yang Zhang
  • , Hongliang Niu
  • , Cangzhou Yuan*
  • , Qiangwei Li*
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

AUTOSAR enhances the management of complex automotive electrical and electronic architectures by improving the reusability and interchangeability of software modules between OEMs and suppliers. However, existing AUTOSAR modeling tools need help with non-intuitive representation and complicated architectural relationship modeling processes. In this paper, we propose a visual architecture modeling language to represent based on model-driven development of the system architecture design of vehicles. Our approach addresses these issues by implementing multi-dimensional visualization capabilities, incorporating two-dimensional graphical representations and detailed one-dimensional tabular displays. Furthermore, we introduce a practical’AUTOSAR meeting in the middle modeling method, which allows for separate modeling at different levels. This approach effectively harnesses the expertise of detailed bottom-level designers and high-level architects, improving efficiency in automotive system design. A detailed case study and evaluation substantiate the effectiveness of our modeling language in describing the system architecture.

源语言英语
主期刊名Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331527471
DOI
出版状态已出版 - 2024
活动22nd IEEE International Conference on Industrial Informatics, INDIN 2024 - Beijing, 中国
期限: 18 8月 202420 8月 2024

出版系列

姓名IEEE International Conference on Industrial Informatics (INDIN)
ISSN(印刷版)1935-4576

会议

会议22nd IEEE International Conference on Industrial Informatics, INDIN 2024
国家/地区中国
Beijing
时期18/08/2420/08/24

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