Principles for the realization of an open simulation framework based on fUML (WIP)

  • Authors:
  • Jérémie Tatibouet;Arnaud Cuccuru;Sébastien Gérard;François Terrier

  • Affiliations:
  • CEA, LIST, Laboratoire d'Ingénierie dirigée par les modèles pour les Systèmes Embarqués, Gif sur Yvette Cedex, France;CEA, LIST, Laboratoire d'Ingénierie dirigée par les modèles pour les Systèmes Embarqués, Gif sur Yvette Cedex, France;CEA, LIST, Laboratoire d'Ingénierie dirigée par les modèles pour les Systèmes Embarqués, Gif sur Yvette Cedex, France;CEA, LIST, Laboratoire d'Ingénierie dirigée par les modèles pour les Systèmes Embarqués, Gif sur Yvette Cedex, France

  • Venue:
  • Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative M&S Symposium
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Model-based engineering is becoming a de facto paradigm for designing complex systems and software. By being executable, models are easier to understand, as well as systems they abstract. UML is the most natural choice for modeling. fUML is an executable subset of UML with precise operational semantics. From causal relations defined in a model, fUML semantics only constructs partial execution orders. When considering fUML in a simulation process, this limitation is possibly an issue for engineers to observe various execution schemes and to have a representative execution of a system model. Usually simulation frameworks control the execution of an application thanks to a dedicated entity. This latter is responsible for the construction of the execution order conforming to the semantics of a specific Model of Computation (MoC). Furthermore it can be used to reflect extra-functional aspects like time. In order to overcome these limitations, this paper proposes principles to use fUML as a simulation environment. We propose to extract the execution control policy from a fUML model and to delegate it to a specific simulation library defining MoCs as fUML models. This library is responsible for controlling the execution and simulating extra-functional aspects. This approach provides the required flexibility and openness needed to support various applications domains. The solution is evaluated on a simple, but representative example.