Developing a Simulation Model Using a SPEM-Based Process Model and Analytical Models

  • Seunghun Park
  • Hyeonjeong Kim
  • Dongwon Kang
  • Doo-Hwan Bae
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 10)

Abstract

It is hard to adopt a simulation technology because of the difficulty in developing a simulation model. In order to resolve the difficulty, we consider the following issues: reducing the cost to develop a simulation model, reducing the simulation model complexity, and resolving the lack of historical data. We propose an approach to deriving a simulation model from a descriptive process model and widely adopted analytical models. We provide a method to develop simulation models and a tool environment to support the method. We applied our approach in developing the simulation model for a government project. Our approach resolves the issues by the transformation algorithms, the hierarchical and modularized modeling properties of UML and (Discrete Event System Specification) DEVS, and widely adopted analytical models.

Keywords

Simulation modeling Hybrid simulation model Software process modeling SPEM Analytical models 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Seunghun Park
    • 1
  • Hyeonjeong Kim
    • 1
  • Dongwon Kang
    • 1
  • Doo-Hwan Bae
    • 1
  1. 1.Division of Computer Science, Department of EECSKAISTKorea

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