Model Driven Combat Effectiveness Simulation Systems Engineering

  • Zhi Zhu National University of Defense Technology, Changsha, People R. China
  • Yonglin Lei National University of Defense Technology, Changsha, People R. China
  • Yifan Zhu National University of Defense Technology, Changsha, People R. China
Keywords: Metamodelling, Semantics, Model-driven engineering, Effectiveness simulation


Model-driven engineering has become popular in the combat effectiveness simulation systems engineering during these last years. It allows to systematically develop a simulation model in a composable way. However, implementing a conceptual model is really a complex and costly job if this is not guided under a well-established framework. Hence this study attempts to explore methodologies for engineering the development of simulation models. For this purpose, we define an ontological metamodelling framework. This framework starts with ontology-aware system conceptual descriptions, and then refines and transforms them toward system models until they reach final executable implementations. As a proof of concept, we identify a set of ontology-aware modelling frameworks in combat systems specification, then an underwater targets search scenario is presented as a motivating example for running simulations and results can be used as a reference for decision-making behaviors.


Zeigler, B.P. How can modeling and simulation help engineering of system of systems? In Computational Frameworks: Systems, models and applications. Edited by Traore, M.K. Elsevier, Amsterdam, 2017.

Sarjoughian, H.S. Model composability. In 38th conference on winter simulation, 2006.

IEEE Standard. IEEE Computer Society. IEEE 1516-2010-standard for modeling and simulation high level architecture-framework and rules. 2010.

European Space Agency. SMP 2.0 handbook (Issue 1 revision 2) EgoS-SiM-gEn-Tn-0099. 2005.

Zeigler, B.P.; Praehofer, H. & Kim, T.G. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. Ed. 2nd. Academic press, New York, 2000. pp.124-136.

Tendeloo, Y.V. & vangheluwe, H.S. Classic DEvS modelling and simulation. In Winter Simulation Conference, 2017.

Azar, M.C. Assessing the treatment of airborne tactical high energy lasers in combat simulations. Air Force institute of Technology, Dayton, oH, 2003. (MS Thesis)

Miller, J.O.; Jason, L. & Honabarger, B. Modeling and measuring network centric warfare (NCW) with the system effectiveness analysis simulation (SEAS). In11th International Command and Control research & Technology Symposium, 2006.

Hall, S.B.; Zeigler, B.P. & Sarjoughian, H.S. Joint measure TM: distributed simulation issues in a mission effectiveness analytic simulator. In proceedings of the Simulation Interoperability Workshop, 99F-SIW-159. 1999.

Lei, Y.L.; Li, Q.; Yang, F.; Wang, W.p. & Zhu, Y.F. Acomposable modeling framework for weapon systems effectiveness simulation. Sys. Eng. Theory Practice, 2013, 33(11), 2954-2966.

Balci, O. A life cycle for modeling and simulation. Society Comput. Simulation Int., 2012,88(7), 870–883.

Li, X.B.; Yang, F.; Lei, Y.L; Wang, W.p. & Zhu, Y.F. A model framework based domain-specific composable modeling method for combat system effectiveness simulation. Software Sys. Modeling, 2016, 16(4), 1-22.

Hardebolle, C. & Boulanger, F. Exploring multi-paradigm modeling techniques. Society Comput. Simulation Int., 2009, 85(11/12), 688-708.

Ahmed, F.; Robinson, S. & Tako, A. Conceptual modelling: lessons from computer science. In 2014 Operational research Society Simulation Workshop, 2014.

Atkinson, C. & Kuhne, T. Model-driven development: a metamodeling foundation. IEEE Software, 2003, 20(5), 36-41.

Çetinkaya, D. Model driven development of simulation models: Defining and transforming conceptual models into simulation models by using metamodels and model transformations. Middle East Technical university, geboren te Konya, Turkije, 2003. (PhD Thesis)

Abdulah, M.S. A UMl profile for conceptual modeling of knowledge-based systems. university of York, York, England, 2006. (PhD Thesis)

Li, Z.; yang, T.; Li, G.P.; Li, J. & Zhang, Y.N. geodetic coordinate calculation based on monocular vision on uAV platform. In IEEE 13th International Conference on Signal processing, 2017.

Lei, Y.L.; Zhu, Z.; Li, Q.; Yang, F. & Zhu, Y.F. WESS: A generic combat effectiveness simulation system. In 17th Asia Simulation Conference, 2017.

How to Cite
Zhu, Z., Lei, Y., & Zhu, Y. (2020). Model Driven Combat Effectiveness Simulation Systems Engineering. Defence Science Journal, 70(1), 54-59.
Combat Engineering