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Scientific computer simulation review

Author

Listed:
  • Kaizer, Joshua S.
  • Heller, A. Kevin
  • Oberkampf, William L.

Abstract

Before the results of a scientific computer simulation are used for any purpose, it should be determined if those results can be trusted. Answering that question of trust is the domain of scientific computer simulation review. There is limited literature that focuses on simulation review, and most is specific to the review of a particular type of simulation. This work is intended to provide a foundation for a common understanding of simulation review. This is accomplished through three contributions. First, scientific computer simulation review is formally defined. This definition identifies the scope of simulation review and provides the boundaries of the review process. Second, maturity assessment theory is developed. This development clarifies the concepts of maturity criteria, maturity assessment sets, and maturity assessment frameworks, which are essential for performing simulation review. Finally, simulation review is described as the application of a maturity assessment framework. This is illustrated through evaluating a simulation review performed by the U.S. Nuclear Regulatory Commission. In making these contributions, this work provides a means for a more objective assessment of a simulation’s trustworthiness and takes the next step in establishing scientific computer simulation review as its own field.

Suggested Citation

  • Kaizer, Joshua S. & Heller, A. Kevin & Oberkampf, William L., 2015. "Scientific computer simulation review," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 210-218.
  • Handle: RePEc:eee:reensy:v:138:y:2015:i:c:p:210-218
    DOI: 10.1016/j.ress.2015.01.020
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    Cited by:

    1. Ray, Douglas & Ramirez-Marquez, Jose, 2020. "A framework for probabilistic model-based engineering and data synthesis," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Katarzyna Botwińska & Arkadiusz Gola & Anna Bączyk, 2019. "Toxicity of Exhaust Fumes (CO, NO x ) of the Compression-Ignition (Diesel) Engine with the Use of Simulation," Sustainability, MDPI, vol. 11(8), pages 1-15, April.

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