Journal of System Simulation
Abstract
Abstract: To address the problems of the inability of DoDAF views to directly drive simulations and the insufficient cross-layer semantic alignment and consistency verification, a DoDAF-OPM-SD cross-layer semantic automated/semi-automated mapping and verification method was proposed in this paper. Targeting tactical/operational-level problems dominated by "conservation+feedback+time delay", the proposed method reduced manual mapping under expert adjudication based on a "minimal executable view set". The object-process methodology served as a semantic bridge to map architectural elements into the stock-flow-feedback structures of system dynamics; semantic embedding disambiguation, integer programming harmonization, and K-nearest neighbor parameter completion were integrated; end-to-end traceability was connected through traceability identifiers, and low-confidence entries were reviewed under "expert and script collaboration". The case study of an "ISR-fire chain" validates the closed-loop capability of automatic modeling guideline generation and indicator write-back. Key verifications are passed, demonstrating that this method can realize fast, traceable, and verifiable executable architecture modeling under applicable conditions.
Recommended Citation
Cheng, Lei; Xiao, Gang; Wang, Binbin; Peng, Siming; Liang, Haozhe; and Gong, Xiangwu
(2026)
"DoDAF-OPM-SD Cross-layer Automated Mapping Method Based on a Unified Semantic Bridge,"
Journal of System Simulation: Vol. 38:
Iss.
8, Article 15.
DOI: 10.16182/j.issn1004731x.joss.25-0910
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss8/15
First Page
2338
Last Page
2352
CLC
E252; TP391
Recommended Citation
Cheng Lei, Xiao Gang, Wang Binbin, et al. DoDAF-OPM-SD Cross-layer Automated Mapping Method Based on a Unified Semantic Bridge[J]. Journal of System Simulation, 2026, 38(8): 2338-2352.
DOI
10.16182/j.issn1004731x.joss.25-0910
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