NBSIMGEN: Jupyter Notebook Extension for Generating Simulation Experiments.

Pia Wilsdorf, Anton Willy Kirchhübel,Adelinde M. Uhrmacher

Winter Simulation Conference(2023)

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摘要
Simulation experiments are crucial in conducting simulation studies. With simulation studies growing increasingly complex, simulation experiments are intertwined with steps of conceptual modeling, model building, analyzing data, and visualizing and interpreting results. Making the products of these various steps (assumptions, requirements, data, model components, and experiments) explicit has been shown to increase the reproducibility of simulation studies. Moreover, using an integrated environment that allows developing, organizing and documenting those products can facilitate their automatic reuse and exploitation. We explore Jupyter Notebook as an all-in-one solution for conducting and documenting a simulation study, and we present nbSimGen. This Jupyter Notebook extension lends support to modelers by automatically specifying and running suitable simulation experiments. It is based on an annotation vocabulary that, during the development of the conceptual model and the simulation model, allows users to mark portions of their notebook deemed relevant to the various simulation experiments to come.
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关键词
Simulation Experiments,Jupyter Notebook,Simulation Model,Conceptual Model,Model Building,Reproducibility Of Studies,Conducted Simulation Studies,Natural Language,Parameter Space,Scanning Parameters,Traffic Light,Optimization Experiments,Model Code,Automatic Generation,Generation Experiments,Code Generation,Simulation Optimization,RAW Cells,GitHub Repository,Natural Language Descriptions,Experimental Conductivity,Execution Of Experiments,Code Snippets
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