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  2. Cochran's C test - Wikipedia

    en.wikipedia.org/wiki/Cochran's_C_test

    The C test detects one exceptionally large variance value at a time. The corresponding data series is then omitted from the full data set. According to ISO standard 5725 [6] the C test may be iterated until no further exceptionally large variance values are detected, but such practice may lead to excessive rejections if the underlying data series are not normally distributed.

  3. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    This is most suitable for cosmetic change. For example, converting an [all-caps] entry to a [Pascal case] entry does not need user input. An inappropriate use of automatic enforcement would be in situations where the enforcement leads to loss of business information. For example, saving a truncated comment if the length is longer than expected.

  4. Test data - Wikipedia

    en.wikipedia.org/wiki/Test_data

    Test data can be generated by the tester or by a program or function that assists the tester. It can be recorded for reuse or used only once. Test data may be created manually, using data generation tools (often based on randomness), [4] or retrieved from an existing production environment. The data set may consist of synthetic (fake) data, but ...

  5. Nesting (computing) - Wikipedia

    en.wikipedia.org/wiki/Nesting_(computing)

    Naturally, to allow the mathematical resolution of these chained (or better: nested) formulas, the inner expressions must be previously evaluated, and this outward direction is essential because the results that the internal functions return are temporarily used as entry data for the external ones.

  6. 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]

  7. "Hello, World!" program - Wikipedia

    en.wikipedia.org/wiki/"Hello,_World!"_program

    program handwritten in the C language and signed by Brian Kernighan (1978) While small test programs have existed since the development of programmable computers, the tradition of using the phrase "Hello, World!" as a test message was influenced by an example program in the 1978 book The C Programming Language, [2] with likely earlier use in BCPL.

  8. Duff's device - Wikipedia

    en.wikipedia.org/wiki/Duff's_device

    In the C programming language, Duff's device is a way of manually implementing loop unrolling by interleaving two syntactic constructs of C: the do-while loop and a switch statement. Its discovery is credited to Tom Duff in November 1983, when Duff was working for Lucasfilm and used it to speed up a real-time animation program.

  9. Test oracle - Wikipedia

    en.wikipedia.org/wiki/Test_Oracle

    This is an example of a partial oracle, which is a hybrid between specified test oracle and derived test oracle. A statistical oracle uses probabilistic characteristics, [ 18 ] for example with image analysis where a range of certainty and uncertainty is defined for the test oracle to pronounce a match or otherwise.