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  2. Random test generator - Wikipedia

    en.wikipedia.org/wiki/Random_test_generator

    [2] Random test generators range in scope from simple scripts and parameterized macros that can be created in a matter of weeks to full featured systems requiring extensive software development. Random test generators are most often created by the designing organizations.

  3. Diehard tests - Wikipedia

    en.wikipedia.org/wiki/Diehard_tests

    Thus 1 − exp(−d 2 / 0.995) should be uniform on [0,1) and a KSTEST on the resulting 100 values serves as a test of uniformity for random points in the square. Test numbers = 0 mod 5 are printed but the KSTEST is based on the full set of 100 random choices of 8000 points in the 10000×10000 square.

  4. 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 ]

  5. TestU01 - Wikipedia

    en.wikipedia.org/wiki/TestU01

    When a specific test is applied to a sample of size n produced by an RNG, the p-value of the test usually will remain reasonable as the sample size increases until the sample size hits n 0, say. After that, the p-value diverges to 0 or 1 with exponential speed. Module 4 allows the researcher to study the interaction between a specific test and ...

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  7. Category:Electronic circuit verification - Wikipedia

    en.wikipedia.org/wiki/Category:Electronic...

    Random test generator; S. Scan chain; Semulation; T. Transistor fault This page was last edited on 29 March 2013, at 03:01 (UTC). Text is available under the Creative ...

  8. +3.6: Miami Heat should trade Jimmy Butler NOW | The Big ...

    www.aol.com/sports/3-6-miami-heat-trade...

    Jimmy Butler #22 of the Miami Heat looks on during the game against the Toronto Raptors on December 1, 2024 at the Scotiabank Arena in Toronto, Ontario, Canada.

  9. 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 ...