Using Activity Metrics for DEVS Simulation Profiling

Abstract : Activity metrics can be used to profile DEVS models before and during the simulation. It is critical to get good activity metrics of models before and during their simulation. Having a means to compute a-priori activity of components (analytic activity) may be worth when simulating a model (or parts of it) for the first time. After, during the simulation, analytic activity can be corrected using dynamic one. In this paper, we introduce McCabe cyclomatic complexity metric (MCA) to compute analytic activity. Both static and simulation activity metrics have been implemented through a plug-in of the DEVSimPy (DEVS Simulator in Python language) environment and applied to DEVS models.
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Communication dans un congrès
ACTIMS 2014 – Activity-Based Modeling & Simulation 2014 , Jan 2014, Zurich, Switzerland. ITM Web of Conferences Volume 3, 2014 <http://www.itm-conferences.org>. <10.1051/itmconf/20140301001>
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Contributeur : Alexandre Muzy <>
Soumis le : jeudi 12 mai 2016 - 17:35:51
Dernière modification le : mercredi 18 mai 2016 - 01:09:27
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Alexandre Muzy, Laurent Capocchi, J.F. Santucci. Using Activity Metrics for DEVS Simulation Profiling. ACTIMS 2014 – Activity-Based Modeling & Simulation 2014 , Jan 2014, Zurich, Switzerland. ITM Web of Conferences Volume 3, 2014 <http://www.itm-conferences.org>. <10.1051/itmconf/20140301001>. <hal-01315176>

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