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  2. Random test generator - Wikipedia

    en.wikipedia.org/wiki/Random_test_generator

    Static generators are similar to table based generators with the exception that the majority of the instruction, operand and data selection reside in complex procedural code. Static generators are capable of producing more random behavior than table based generators, but still have trouble hitting many corner-cases.

  3. Test data - Wikipedia

    en.wikipedia.org/wiki/Test_data

    Test data are sets of inputs or information used to verify the correctness, performance, and reliability of software systems. Test data encompass various types, such as positive and negative scenarios, edge cases, and realistic user scenarios, and aims to exercise different aspects of the software to uncover bugs and validate its behavior.

  4. Randomness test - Wikipedia

    en.wikipedia.org/wiki/Randomness_test

    A randomness test (or test for randomness), in data evaluation, is a test used to analyze the distribution of a set of data to see whether it can be described as random (patternless). In stochastic modeling , as in some computer simulations , the hoped-for randomness of potential input data can be verified, by a formal test for randomness, to ...

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

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

    A test data set is a data set that is independent of the training data set, but that follows the same probability distribution as the training data set. If a model fit to the training data set also fits the test data set well, minimal overfitting has taken place (see figure below). A better fitting of the training data set as opposed to the ...

  6. Diehard tests - Wikipedia

    en.wikipedia.org/wiki/Diehard_tests

    This test uses n = 2 24 and m = 2 9, so that the underlying distribution for j is taken to be Poisson with λ = 2 27 / 2 26 = 2. A sample of 500 j s is taken, and a chi-square goodness of fit test provides a p value. The first test uses bits 1–24 (counting from the left) from integers in the specified file. Then the file is closed and reopened.

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  8. Data-driven testing - Wikipedia

    en.wikipedia.org/wiki/Data-driven_testing

    Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

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