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dc.contributor.author De Waal, A
dc.contributor.author Willers, CJ
dc.contributor.author Roodt, JHS
dc.contributor.author Mudau, AE
dc.date.accessioned 2013-11-27T11:55:46Z
dc.date.available 2013-11-27T11:55:46Z
dc.date.issued 2013-08
dc.identifier.citation De Waal, A, Willers, C.J, Roodt, J.H.S and Mudau, A.E. 2013. The validation of an infrared simulation system. In: SA Incose 10th Conference, 26-28 August 2013, CSIR International Convention Centre, Pretoria en_US
dc.identifier.uri http://hdl.handle.net/10204/7106
dc.description SA Incose 10th Conference, 26-28 August 2013, CSIR International Convention Centre, Pretoria. Abstract only attached. en_US
dc.description.abstract A commonly-used term in the simulation domain is ‘validation, verification and accreditation’ (VVA). When analysing simulation predictions for the purpose of system solution development and decision-making, one key question persist: “What confidence can I have in the simulation and its results? ” Knowing the validation status of a simulation system is critical to express confidence in the simulation. A practical validation procedure must be simple and done in the regular course of work. A well-known and acknowledged validation model by Schlesinger depicts the interaction between three entities: Reality, Conceptual Model and Computer Model, and three processes: Analysis & Modelling, Programming and Verification, and Evaluation and Validation. We developed a systematic procedure where each of these six elements is evaluated, investigated and then quantified in terms of a set of criteria (or model properties). Many techniques exist to perform the validation procedure. They include: comparison with other models, face validity, extreme condition testing, historical data validation and predictive validation - to mention a few. The result is a two-dimensional matrix representing the confidence in validation of each of the criteria (model properties) along each of the verification and validation elements. Depending on the nature of the element, the quantification of each cell in this matrix is done numerically or heuristically. Most often literature on validation for simulation systems only provides guidance by means of a theoretical validation framework. This paper briefly describes the procedure used to validate software models in an infrared system simulation, and provides application examples of this process. The discussion includes practical validation techniques, quantification, visualisation, summary reports, and lessons learned during the course of a validation process. The framework presented in this paper is sufficiently general, so that the concepts could be applied to other simulation environments as well. en_US
dc.language.iso en en_US
dc.publisher INCOSE South Africa en_US
dc.relation.ispartofseries Workflow;11619
dc.subject Infrared simulation systems en_US
dc.subject Simulation environments en_US
dc.subject Validation model en_US
dc.title The validation of an infrared simulation system en_US
dc.type Presentation en_US


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