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Model Continuity in Discrete Event Simulation: A Framework for Model-Driven Development of Simulation Models

Authors:

Deniz Çetinkaya,

Alexander Verbraeck,

Mamadou D. SeckAuthors Info & Claims

ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 25, Issue 3

Article No.: 17, Pages 1 - 24

https://doi.org/10.1145/2699714

Published: 16 April 2015 Publication History

Abstract

Most of the well-known modeling and simulation (M&S) methodologies state the importance of conceptual modeling in simulation studies, and they suggest the use of conceptual models during the simulation model development process. However, only a limited number of methodologies refers to how to move from a conceptual model to an executable simulation model. Besides, existing M&S methodologies do not typically provide a formal method for model transformations between the models in different stages of the development process. Hence, in the current M&S practice, model continuity is usually not fulfilled. In this article, a model-driven development framework for M&S is presented to bridge the gap between different stages of a simulation study and to obtain model continuity. The applicability of the framework is illustrated with a prototype modeling environment and a case study in the discrete event simulation domain.

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Cited By

Kohan SJohnstone LCetinkaya D(2023)A survey on the model-centered approaches to conceptual modeling of IoT systemsFrontiers in Computer Science10.3389/fcomp.2023.10352255Online publication date: 4-Aug-2023
https://doi.org/10.3389/fcomp.2023.1035225
Zimmermann OLuban KStocker MBernard GMelegati J(2022)Continuous process model refinement from business vision to event simulation and software automationProceedings of the 5th International Workshop on Software-intensive Business: Towards Sustainable Software Business10.1145/3524614.3528631(59-66)Online publication date: 18-May-2022
https://dl.acm.org/doi/10.1145/3524614.3528631
Köster TWarnke TUhrmacher A(2022)Generating Fast Specialized Simulators for Stochastic Reaction Networks via Partial EvaluationACM Transactions on Modeling and Computer Simulation10.1145/348546532:2(1-25)Online publication date: 4-Mar-2022
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Index Terms

Model Continuity in Discrete Event Simulation: A Framework for Model-Driven Development of Simulation Models
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
    2. Simulation types and techniques
      1. Discrete-event simulation

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cover image ACM Transactions on Modeling and Computer Simulation

ACM Transactions on Modeling and Computer Simulation Volume 25, Issue 3

May 2015

146 pages

ISSN:1049-3301

EISSN:1558-1195

DOI:10.1145/2764453

Editor:
Adelinde M. Uhrmacher
University of Rostock, Germany

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Publication History

Published: 16 April 2015

Accepted: 01 December 2014

Revised: 01 September 2014

Received: 01 April 2013

Published in TOMACS Volume 25, Issue 3

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https://dl.acm.org/doi/10.1145/3524614.3528631
Köster TWarnke TUhrmacher A(2022)Generating Fast Specialized Simulators for Stochastic Reaction Networks via Partial EvaluationACM Transactions on Modeling and Computer Simulation10.1145/348546532:2(1-25)Online publication date: 4-Mar-2022
https://dl.acm.org/doi/10.1145/3485465
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