Paper
22 June 1999 Ensuring thorough comparison of modeling and simulation (M&S) results with experimental and test observations
Donald Caughlin
Author Affiliations +
Abstract
The Verification, Validation and Accreditation (VV&A) process is integral to M&S development. Robust Verification and Validation (V&V) provides the confidence in the estimate of system performance derived from the simulation. There are five fundamental steps in the VV&A process: Requirements Validation; Conceptual Model Validation; Design Verification; Implementation Verification; and Results Validation. This paper addresses issues associated with Results Validation which is a comparison of M&S predictions with experimental (test) observations (measurements) for the purpose of ensuring the fidelity of the M&S representations of the system. Comparison of model predictions with test observations (measurements) may or may not be a straightforward process. We discuss the comparison of the experimental results (e.g. a flight test) with the output of a model (as represented by a simulation), we consider the elements of the `system' and `model,' and directly address the impact of the model abstraction techniques employed.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donald Caughlin "Ensuring thorough comparison of modeling and simulation (M&S) results with experimental and test observations", Proc. SPIE 3696, Enabling Technology for Simulation Science III, (22 June 1999); https://doi.org/10.1117/12.351194
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Cited by 3 scholarly publications.
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KEYWORDS
Data modeling

Systems modeling

Mathematical modeling

Monte Carlo methods

Prototyping

Taxonomy

Statistical analysis

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