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As mission complexity grows in joint and coalition operations, traditional architecture modeling methods struggle with uncontrolled complexity, weak traceability, and high overhead in dynamic cross-domain missions, limiting early engineering analysis efficiency and effectiveness. Therefore, this paper proposes a semantic Model-Based System Engineering (sMBSE) approach. Based on UAF and the KARMA language, a GOPPRR-based metamodel is developed to enable unified representation of multi-domain elements. Furthermore, a mission-oriented methodology is proposed to support structured construction and standardized organization of complex task architecture models, eliminating redundant modeling and ensuring traceable element linkage through inter-view element propagation. Finally, the feasibility of the proposed metamodel and methodology is validated through a case study based on an existing MagicDraw-based Mission Engineering (ME) modeling scenario. The resulting approach supports lightweight, flexible, and analytically robust mission engineering, suitable for high-stakes defense applications.

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Semantic Model-Based System Engineering Supporting Mission Engineering Modeling

  • 会议论文

  • 发表日期：

    2026年

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  • Bangjun Guo,
  • Tianning Liu,
  • Jinzhi Lu,
  • Xiang Jiang,
  • Wenglong Zhu

摘要

As mission complexity grows in joint and coalition operations, traditional architecture modeling methods struggle with uncontrolled complexity, weak traceability, and high overhead in dynamic cross-domain missions, limiting early engineering analysis efficiency and effectiveness. Therefore, this paper proposes a semantic Model-Based System Engineering (sMBSE) approach. Based on UAF and the KARMA language, a GOPPRR-based metamodel is developed to enable unified representation of multi-domain elements. Furthermore, a mission-oriented methodology is proposed to support structured construction and standardized organization of complex task architecture models, eliminating redundant modeling and ensuring traceable element linkage through inter-view element propagation. Finally, the feasibility of the proposed metamodel and methodology is validated through a case study based on an existing MagicDraw-based Mission Engineering (ME) modeling scenario. The resulting approach supports lightweight, flexible, and analytically robust mission engineering, suitable for high-stakes defense applications.