Exploiting Provenance and Ontologies In Supporting Best Practices For Simulation Experiments: A Case Study On Sensitivity Analysis
Author:
Affiliation:
1. Institute for Visual and Analytic Computing, University of Rostock,Rostock,GERMANY,18059
Funder
DFG
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9715283/9715284/09715362.pdf?arnumber=9715362
Reference40 articles.
1. Conceptual Models in Simulation Studies: Making it Explicit
2. Conducting Systematic, Partly Automated Simulation Studies-Unde Venis et Quo Vadis;wilsdorf;AIP Conference Proceedings,2020
3. Which Sensitivity Analysis Method Should I Use for My Agent-Based Model?
4. A survey of simulation provenance systems: modeling, capturing, querying, visualization, and advanced utilization
5. DeMO: An Ontology for Discrete-event Modeling and Simulation
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1. Context, Composition, Automation, and Communication: The C 2 AC Roadmap for Modeling and Simulation;ACM Transactions on Modeling and Computer Simulation;2024-08-13
2. NBSIMGEN: Jupyter Notebook Extension for Generating Simulation Experiments;2023 Winter Simulation Conference (WSC);2023-12-10
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