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  2. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  3. Electronic assessment - Wikipedia

    en.wikipedia.org/wiki/Electronic_assessment

    Electronic assessment, also known as digital assessment, e-assessment, online assessment or computer-based assessment, is the use of information technology in assessment such as educational assessment, health assessment, psychiatric assessment, and psychological assessment.

  4. Model-based testing - Wikipedia

    en.wikipedia.org/wiki/Model-based_testing

    In others, elements in the abstract test suite must be mapped to specific statements or method calls in the software to create a concrete test suite. This is called solving the "mapping problem". [1] In the case of online testing (see below), abstract test suites exist only conceptually but not as explicit artifacts.

  5. Test-driven development - Wikipedia

    en.wikipedia.org/wiki/Test-driven_development

    Test-driven development is related to, but different from acceptance test–driven development (ATDD). [20] TDD is primarily a developer's tool to help create well-written unit of code (function, class, or module) that correctly performs a set of operations.

  6. TestComplete - Wikipedia

    en.wikipedia.org/wiki/TestComplete

    TestComplete is used to create and automate many different software test types. Record and playback test creation records a tester performing a manual test and allows it to be played back and maintained over and over again as an automated test.

  7. 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 ...

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