Model Driven Combat Effectiveness Simulation Systems Engineering
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. https://doi.org/10.1016/B978-1-78548-256-4.50001-6
Sarjoughian, H.S. Model composability. In 38th conference on winter simulation, 2006. https://doi.org/10.1109/WSC.2006.323047
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. https://doi.org/10.1109/10.1109/WSC.2017.8247822
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. https://doi.org/10.12011/1000-6788(2013)11-2954
Balci, O. A life cycle for modeling and simulation. Society Comput. Simulation Int., 2012,88(7), 870–883. https://doi.org/10.1177/0037549712438469
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. https://doi.org/10.1007/s10270-015-0513-x
Hardebolle, C. & Boulanger, F. Exploring multi-paradigm modeling techniques. Society Comput. Simulation Int., 2009, 85(11/12), 688-708. https://doi.org/10.1177/0037549709105240
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. https://doi.org/10.1109/MS.2003.1231149
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. https://doi.org/10.1109/ICSp.2016.7877846
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. https://doi.org/10.1007/978-981-10-6502-6_24
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