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  2. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    Prospective validation – the missions conducted before new items are released to make sure the characteristics of the interests which are functioning properly and which meet safety standards. [17] [18] Some examples could be legislative rules, guidelines or proposals, [19] [20] [21] methods, [22] theories/hypothesis/models, [23] [24] products ...

  3. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  4. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Such final external validation requires the use of an acceptance test which is a dynamic test. However, it is also possible to perform internal static tests to find out if the software meets the requirements specification but that falls into the scope of static verification because the software is not running.

  5. Test method - Wikipedia

    en.wikipedia.org/wiki/Test_method

    A test method is a method for a test in science or engineering, ... For example, if a manufactured ... reference to most recent test method validation; person, office ...

  6. Engineering validation test - Wikipedia

    en.wikipedia.org/wiki/Engineering_validation_test

    An engineering verification test (EVT) is performed on first engineering prototypes, to ensure that the basic unit performs to design goals and specifications. [1] Verification ensures that designs meets requirements and specification while validation ensures that created entity meets the user needs and objectives.

  7. Cross-validation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Cross-validation_(statistics)

    Cross-validation includes resampling and sample splitting methods that use different portions of the data to test and train a model on different iterations. It is often used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice.

  8. Verification and validation of computer simulation models

    en.wikipedia.org/wiki/Verification_and...

    The model is viewed as an input-output transformation for these tests. The validation test consists of comparing outputs from the system under consideration to model outputs for the same set of input conditions. Data recorded while observing the system must be available in order to perform this test. [3]

  9. Informal methods of validation and verification - Wikipedia

    en.wikipedia.org/wiki/Informal_methods_of...

    The Turing test is an informal validation method that was developed by the English mathematician Alan Turing in the 1950s, which at its roots is a specialized form of face validation because humans can be seen as "experts" on being able to analyze how other humans will respond in a given situation. Specifically, this model is best suited for ...