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  2. Black box - Wikipedia

    en.wikipedia.org/wiki/Black_box

    A developed black box model is a validated model when black-box testing methods [10] ensures that it is, based solely on observable elements. With back testing, out of time data is always used when testing the black box model. Data has to be written down before it is pulled for black box inputs.

  3. Blackboxing - Wikipedia

    en.wikipedia.org/wiki/Blackboxing

    Black-boxing as an approach has been criticized by scholars such as Langdon Winner for being excessively formulaic in method and too narrow in focus. [6] R.H. Lossin also critiques black-boxes as a transposition of Marx’s use-value, where the ‘dead labor’ embedded into objects is transformed into a Latourean conception of neutral inputs ...

  4. System identification - Wikipedia

    en.wikipedia.org/wiki/System_identification

    A common approach is to start from measurements of the behavior of the system and the external influences (inputs to the system) and try to determine a mathematical relation between them without going into many details of what is actually happening inside the system; this approach is called black box system identification.

  5. Black-box testing - Wikipedia

    en.wikipedia.org/wiki/Black-box_testing

    Black-box testing, sometimes referred to as specification-based testing, [1] is a method of software testing that examines the functionality of an application without peering into its internal structures or workings.

  6. Surrogate model - Wikipedia

    en.wikipedia.org/wiki/Surrogate_model

    A model is constructed based on modeling the response of the simulator to a limited number of intelligently chosen data points. This approach is also known as behavioral modeling or black-box modeling, though the terminology is not always consistent. When only a single design variable is involved, the process is known as curve fitting.

  7. Orthogonal array testing - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_array_testing

    Orthogonal array testing is a systematic and statistically-driven black-box testing technique employed in the field of software testing. [ 1 ] [ 2 ] This method is particularly valuable in scenarios where the number of inputs to a system is substantial enough to make exhaustive testing impractical.

  8. Random testing - Wikipedia

    en.wikipedia.org/wiki/Random_testing

    Random testing is a black-box software testing technique where programs are tested by generating random, independent inputs. Results of the output are compared against software specifications to verify that the test output is pass or fail. [1]

  9. Exploratory testing - Wikipedia

    en.wikipedia.org/wiki/Exploratory_testing

    Exploratory testing is an approach to software testing that is concisely described as simultaneous learning, test design and test execution. Cem Kaner, who coined the term in 1984, [1] defines exploratory testing as "a style of software testing that emphasizes the personal freedom and responsibility of the individual tester to continually optimize the quality of his/her work by treating test ...