NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Metamorphic Testing for Hybrid Simulation Validation

Published

Author(s)

Mohammed Farhan, Caroline Krejci, Megan Olsen, M S Raunak

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

Download Paper

https://doi.org/10.23919/ANNSIM52504.2021.9552058
Local Download

Keywords

simulation validation, metamorphic testing, hybrid simulation, agent-based modeling
Software testing, Software research, Information technology and Complex systems

Citation

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 October 13, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created October 5, 2021, Updated October 30, 2023
Was this page helpful?