@inproceedings{d071807144444cb990101275eeae4bcd,
title = "V-AUTOSAR: Graphical Modeling Language for AUTOSAR Architecture and Resource Modeling",
abstract = "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{\textquoteright}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.",
keywords = "AUTOSAR, Architecture Design, MDA",
author = "Yilong Yang and Yang Zhang and Hongliang Niu and Cangzhou Yuan and Qiangwei Li",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 22nd IEEE International Conference on Industrial Informatics, INDIN 2024 ; Conference date: 18-08-2024 Through 20-08-2024",
year = "2024",
doi = "10.1109/INDIN58382.2024.10774481",
language = "英语",
series = "IEEE International Conference on Industrial Informatics (INDIN)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024",
address = "美国",
}