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Article type: Research Article
Authors: Lu, Jinzhia | Wang, Guoxinb; * | Tao, Xina | Wang, Jianc; * | Törngren, Martina
Affiliations: [a] KTH Royal Institute of Technology, Stockholm, 10044, Sweden | [b] Beijing Institute of Technology, Beijing 100081, China | [c] University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
Correspondence: [*] Corresponding authors: Guoxin Wang, Beijing Institute of Technology, Room 343, Teaching Building I. No. 5 S. Zhongguancun Str. Haidian Dist., Beijing 100081, China. Tel.: +86 10 68912718; E-mail: [email protected]. Jian Wang, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China. Tel.: +86 138 8063 9846; E-mail: [email protected].
Abstract: Constructing and evaluating a comprehensive tool-chain with commercial off-the-shelf and proprietary tools for the deployment of model-based systems engineering (MBSE) is a challenging and complex task. Specifically, the lack of early assessment during tool-chain development has led to increased research and development costs when unexpected features are developed or poor decisions are made. In this paper, a domain-specific modeling (DSM) approach is proposed to support decision-makings during tool-chain design and to facilitate quantitative assessment of tool-chain features at early-phases. Using this approach, different views of tool-chains are first formalized under a DSM framework. Then the DSM models are transformed to Bayesian network models for supporting the quantitative assessment of related tools in order to analyze the whole tool-chains’ features. In the case study, the approach is verified by comparing two MBSE tool-chains for an auto-braking system design. The results indicate that the DSM approach enhances the understanding of tool-chain concepts, promotes the efficiency of MBSE tool-chain development, and verifies the tool-chain in early development phases using a quantitative approach.
Keywords: Bayesian network, domain-specific modeling, model-based systems engineering, tool-chain assessment, tool-chain formalism
DOI: 10.3233/ICA-190612
Journal: Integrated Computer-Aided Engineering, vol. 27, no. 2, pp. 153-171, 2020
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