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Human monitoring systems for health, fitness and performance augmentation
Published in Adedeji B. Badiru, Cassie B. Barlow, Defense Innovation Handbook, 2018
Mark M. Derriso, Kimberly Bigelow, Christine Schubert Kabban, Ed Downs, Amanda Delaney
Whether a model of performance is constructed using data-driven techniques or is physics-based, one critical element of the process is an evaluation of the model. “Verification” and “validation” are often used as terms to ensure that a system, process, or in this case, a model, performs to internal and external standards. With respect to human system modeling, verification is used to assure that the model meets a particular specification. In most prediction models, this is often equated to a minimum level of unexplained error often measured through either MSE or the R-square statistic for continuous performance outcomes and correct classification rates for group-level outcomes such as “success” or “no success.” During a model building process, a final model is usually not presented until verification is established, usually by meeting a pre-specified level of error (i.e., minimum MSE or error rate). Validation is used to assure that the model meets a particular, and often similar, level of prediction when applied to independent sample(s) from the population—this is considered the external standard. For well-trained data analysts and statisticians, validation is usually of primary concern, as meeting a similar level of prediction in an independent sample from the population provides assurance that the model may estimate consistently or suitably when applied to alternate data.
Software Management Domain
Published in Marvin Gechman, Project Management of Large Software-Intensive Systems, 2019
A common phrase used to explain the difference between validation and verification is: validation determines if you built the right product; verification determines if you built it right. The confusion between them is compounded depending on whether you are talking about V&V of the entire system or V&V of the software work products. In the latter case, for example, even though a software document may be complete, and it followed the standard and format for that document (you built it right), the contents of the document may not address or satisfy the customer’s needs (you built the wrong product).
On Verification and Validation in Engineering
Published in Diane P. Michelfelder, Neelke Doorn, The Routledge Handbook of the Philosophy of Engineering, 2020
Francien Dechesne, Tijn Borghuis
Verification and validation are processes that aim to contribute to the reliability of the systems that are being developed and to ensure that stakeholder value has been realized. This presupposes that the outcomes of these processes can be trusted. There are two fundamental challenges here: the complexity of the processes, and the objectivity of the persons carrying them out.
Application of Systems Usability Case in an Integrated System Validation of Control Room
Published in Nuclear Technology, 2023
Hanna Koskinen, Jari Laarni, Marja Liinasuo, Leena Salo
Verification and validation also ensures that the system meets operational requirements and supports the performance of personnel tasks and, further, that the system meets safety requirements so that it supports safe operation of the plant in all possible conditions.