Journal of System Simulation
Abstract
Abstract: Traditional system verification methods face significant challenges in terms of efficiency, coverage, and traceability. To address these issues, this paper introduced model-based system verification (MBSV), which deeply integrated verification activities within the model-based systems engineering model system and evolution process. It presented the foundational logic of MBSV and proposed a multiview unified verification modeling strategy based on system modeling language (SysML), integrating requirements, structure, behavior, and constraints. The paper discussed the algorithms for selecting representative paths and reducing equivalent classes to enhance verification efficiency, the principles of test path search, as well as the intelligent path search mechanism based on RL. It detailed the automated generation process for transforming abstract paths into executable test cases and discussed a dual-channel automated execution mechanism based on functional mock-up units and simulation platform SDKs to enable the seamless deployment and closed-loop feedback of verification tasks within heterogeneous simulation environments. The paper outlined future research directions for MBSV.
Recommended Citation
Sun, Bo; Ren, Yi; Wang, Silin; Liu, Qi; and Li, Zhidong
(2026)
"Model-based System Verification: Theoretical Framework, Key Technologies, and Future Prospects,"
Journal of System Simulation: Vol. 38:
Iss.
4, Article 1.
DOI: 10.16182/j.issn1004731x.joss.25-0797
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/1
First Page
829
Last Page
854
CLC
TP391
Recommended Citation
Sun Bo, Ren Yi, Wang Silin, et al. Model-based System Verification: Theoretical Framework, Key Technologies, and Future Prospects[J]. Journal of System Simulation, 2026, 38(4): 829-854.
DOI
10.16182/j.issn1004731x.joss.25-0797
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