Date of Thesis
Luiz Felipe Perrone
computer simulation, experiment automation, simulation methodology, discrete-event simulation
Simulation is an important resource for researchers in diverse fields. However, many researchers have found flaws in the methodology of published simulation studies and have described the state of the simulation community as being in a crisis of credibility. This work describes the project of the Simulation Automation Framework for Experiments (SAFE), which addresses the issues that undermine credibility by automating the workflow in the execution of simulation studies. Automation reduces the number of opportunities for users to introduce error in the scientific process thereby improvingthe credibility of the final results. Automation also eases the job of simulation users and allows them to focus on the design of models and the analysis of results rather than on the complexities of the workflow.
Ward, Bryan, "A Framework for the Automation of Discrete-Event Simulation Experiments" (2011). Honors Theses. 42.