AsiaSim 2013: 13th International Conference on Systems by Gary Tan (ed.), Gee Kin Yeo (ed.), Stephen John Turner

By Gary Tan (ed.), Gee Kin Yeo (ed.), Stephen John Turner (ed.), Yong Meng Teo (ed.)

This e-book constitutes the refereed complaints of the thirteenth foreign convention on structures Simulation, Asia Simulation 2013, held in Singapore, in November 2013. The forty five revised complete papers awarded including 18 brief papers have been rigorously reviewed and chosen from a variety of submissions. The papers tackle matters equivalent to agent dependent simulation, scheduling algorithms, simulation equipment and instruments, simulation and visualization, modeling method, simulation in technological know-how and engineering, excessive functionality computing and simulation and parallel and dispensed simulation.

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Extra info for AsiaSim 2013: 13th International Conference on Systems Simulation, Singapore, November 6-8, 2013. Proceedings

Example text

Department of Defense Architecture Framework (DoDAF) and other architecture frameworks have been mandated as the guide for the development of the C4ISR systems’ architecture in many countries. However, one problem existing in the current frameworks is that they prescribe only static representations of the architecture description. These static representations include Unified Modeling Language (UML), ICAM Definition Languages (IDEF), text, and table, and so on. As a result, they cannot effectively support the simulation and validation of the architecture in the design stage.

The framework of our appraoch is shown in Fig. 1. In our approach, we use ATLAS Transformation Languages (ATL) [21] for the transformation. ATL are a model transformation language and toolkit proposed by ATLAS research group based on the QVT (Query/View/Transformation). ATL implements the transformation at the meta-model level, which could easily ensure the consistency between the source model and target model, and improve the standardization of transformation. ATL rules describe the relationships of how the source model can be mapped to the target model based on their meta-models.

In our approach, we use ATLAS Transformation Languages (ATL) [21] for the transformation. ATL are a model transformation language and toolkit proposed by ATLAS research group based on the QVT (Query/View/Transformation). ATL implements the transformation at the meta-model level, which could easily ensure the consistency between the source model and target model, and improve the standardization of transformation. ATL rules describe the relationships of how the source model can be mapped to the target model based on their meta-models.

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