Farhan, M.
, Krejci, C.
, Olsen, M.
and Raunak, M.
(2021),
Metamorphic Testing for Hybrid Simulation Validation, Proceedings of the 2021 Annual Modeling and Simulation Conference (ANNSIM '21), Fairfax, VA, US, [online], https://doi.org/10.23919/ANNSIM52504.2021.9552058, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932547
(Accessed April 23, 2024)
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Metamorphic Testing for Hybrid Simulation Validation
Published
Author(s)
Mohammed Farhan, Caroline Krejci, Megan Olsen,
Abstract
Proper validation of a simulation model is essential to have confidence on its accuracy and credibility. However, many of the most effective approaches for simulation validation require access to data that may not always be available. Metamorphic Testing (MT), an approach from traditional software testing, has been shown to be useful for verification of simulation software in similar situations. Recent research shows that MT can be applied to the validation of agent based and discrete event simulation models. In this paper we build on that work and show how MT can be applied to hybrid simulation models. We demonstrate the effectiveness of our approach by applying it on a case study of helping behavior among servers in a restaurant.Proceedings Title
Proceedings of the 2021 Annual Modeling and Simulation Conference (ANNSIM '21)
Conference Dates
July 19-22, 2021
Conference Location
Fairfax, VA, US
Conference Title
2021 Annual Modeling and Simulation (ANNSIM) Conference
Pub Type
Conferences
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Keywords
simulation validation, metamorphic testing, hybrid simulation, agent-based modeling
Citation
Created October 5, 2021, Updated October 30, 2023