SES-X: A MBSE Methodology Based on SES/MB and X Language

Kunyu Xie; Lin Zhang; Xin Li; Pengfei Gu; Zhen Chen

doi:10.3390/info14010023

SES-X: A MBSE Methodology Based on SES/MB and X Language

Kunyu Xie, Lin Zhang^*, Xin Li, Pengfei Gu, Zhen Chen

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

8 Citations (Scopus)

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Abstract

Model-based systems engineering (MBSE) is a leading paradigm for the analyses and development of complex systems. However, the development of modeling and simulation infrastructure supporting MBSE is lacking, which limits the application of MBSE. To address this problem, this paper proposes an SES-X methodology that integrates system modeling (following SES philosophy) with system simulation (supported by X language) to support the full lifecycle of MBSE modeling, including system analysis, architecture decomposition, physical modeling, and simulation. In the process, SES-X performs two levels of model pruning for model verification and simulation efficiency. This paper also conducts a case study on a car model to illustrate the effectiveness of the SES-X methodology.

© 2022 by the authors.

Original language	English
Article number	23
Journal	Information (Switzerland)
Volume	14
Issue number	1
Online published	29 Dec 2022
DOIs	https://doi.org/10.3390/info14010023
Publication status	Published - Jan 2023

Funding

This work was funded by China’s National Key R&D Program, No. 2018YFB1701600.

Research Keywords

complex systems
model-based systems engineering
system entity structure
X language

Publisher's Copyright Statement

This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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10.3390/info14010023

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abstract = "Model-based systems engineering (MBSE) is a leading paradigm for the analyses and development of complex systems. However, the development of modeling and simulation infrastructure supporting MBSE is lacking, which limits the application of MBSE. To address this problem, this paper proposes an SES-X methodology that integrates system modeling (following SES philosophy) with system simulation (supported by X language) to support the full lifecycle of MBSE modeling, including system analysis, architecture decomposition, physical modeling, and simulation. In the process, SES-X performs two levels of model pruning for model verification and simulation efficiency. This paper also conducts a case study on a car model to illustrate the effectiveness of the SES-X methodology.{\textcopyright} 2022 by the authors.",

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AB - Model-based systems engineering (MBSE) is a leading paradigm for the analyses and development of complex systems. However, the development of modeling and simulation infrastructure supporting MBSE is lacking, which limits the application of MBSE. To address this problem, this paper proposes an SES-X methodology that integrates system modeling (following SES philosophy) with system simulation (supported by X language) to support the full lifecycle of MBSE modeling, including system analysis, architecture decomposition, physical modeling, and simulation. In the process, SES-X performs two levels of model pruning for model verification and simulation efficiency. This paper also conducts a case study on a car model to illustrate the effectiveness of the SES-X methodology.© 2022 by the authors.

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SES-X: A MBSE Methodology Based on SES/MB and X Language

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Research Keywords

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