Call for Papers
The workshop aims to foster original research contributions that address
the use of model-driven approaches to support simulation engineering.
Similarly to systems and software engineering, simulation engineering can exploit the capabilities of model-driven approaches by increasing the abstraction level in simulation model specifications and by automating the derivation of simulator code. Further advantages can be gained by using modeling languages, such as UML and SysML – but not exclusively those. For example, modeling languages can be used for descriptive modeling (to describe the system to be simulated), for analytical modeling (to specify analytically the simulation of the same system), and for implementation modeling (to define the respective simulator).
A non–exhaustive list of topics of interest includes:
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model-driven simulation engineering processes
- requirements modeling for simulation
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domain specific languages for modeling and simulation
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model transformations for simulation model building
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model transformations for simulation model implementation
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model-driven engineering of distributed simulation systems
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relationship between metamodeling standards (e.g., MOF, Ecore) and
distributed simulation standards (e.g., HLA, DIS)
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metamodels for simulation reuse and interoperability
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model-driven technologies for different simulation paradigms (discrete
event simulation, multi agent simulation, sketch-based simulation, etc.)
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model-driven methods and tools for performance engineering of simulation
systems
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simulation tools for model-driven software performance engineering
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model-driven technologies for simulation verification and validation
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model-driven technologies for data collection and analysis
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model-driven technologies for simulation visualization
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Executable UML
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Executable Architectures
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SysML / Modelica integration
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Simulation Model Portability
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Model-based systems verification and validation
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Simulation for model-based systems engineering
To stimulate creativity, however, the workshop maintains a wider scope and
welcomes contributions offering original perspectives on model-driven
engineering of simulation systems.
