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Model-driven engineering framework for replicable simulation experiments
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index.pdf
Date
2019
Author
Dayıbaş, Orçu
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Simulation experiments allow the user to capture the specific variability of multiple interdependent processes. The use of simulation models is widely accepted by practitioners from diverse areas of applied sciences. Therefore, simulation experiments are an essential part of computational science and engineering. Nevertheless, simulations are rarely replicated due to reuse and maintenance challenges related to models and data. In this respect, it is proposed that some crucial and labor intensive parts of the simulation experiments could be replaced or supported by model transformations. This work focuses on model-driven engineering practices to enable replicable and reusable simulation experiments. These practices are used to devote researchers’ time to analyze the system under investigation rather than dealing with low level details to create a working environment. The results of our framework development work and our research directions are presented.
Subject Keywords
Computer simulation
,
Keywords: Design of Experiment
,
Simulation Experiment
,
Variability Management
,
Model Driven Engineering.
URI
http://etd.lib.metu.edu.tr/upload/12623492/index.pdf
https://hdl.handle.net/11511/43779
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Graduate School of Natural and Applied Sciences, Thesis
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O. Dayıbaş, “Model-driven engineering framework for replicable simulation experiments,” Thesis (Ph.D.) -- Graduate School of Natural and Applied Sciences. Computer Engineering., Middle East Technical University, 2019.