SysML modeling tools for improved storage efficiency

Qinchao Jin; Peihao Yang; Tiantian Wang; Xianghu Wu; Kechao Wang

doi:10.1117/12.3012225

21 December 2023 SysML modeling tools for improved storage efficiency

Qinchao Jin, Peihao Yang, Tiantian Wang, Xianghu Wu, Kechao Wang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129701C (2023) https://doi.org/10.1117/12.3012225
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

With the development and widespread application of Model-Based Systems Engineering (MBSE) in the aerospace domain continue to grow, System Modeling Language (SysML) has become increasingly important as the most popular modeling language in MBSE. It is crucial to provide developers with an efficient and secure SysML editing tool to enhance their productivity. However, our research has revealed issues with the existing SysML editing tools, particularly in terms of data storage, resulting in a decline in efficiency as project data grows. Therefore, this paper proposes a GEF-based SysML development tool that supports developers in creating, editing, and exporting graphics. This tool addresses the data storage issues, improving development efficiency. Additionally, we present a model validation approach and extend the existing validation rules to ensure the correctness, reliability, and security of graphical elements and diagrams.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qinchao Jin, Peihao Yang, Tiantian Wang, Xianghu Wu, and Kechao Wang "SysML modeling tools for improved storage efficiency", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129701C (21 December 2023); https://doi.org/10.1117/12.3012225

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