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  2. Software verification - Wikipedia

    en.wikipedia.org/wiki/Software_verification

    Non functional test (performance, stress test) The aim of software dynamic verification is to find the errors introduced by an activity (for example, having a medical software to analyze bio-chemical data); or by the repetitive performance of one or more activities (such as a stress test for a web server, i.e. check if the current product of ...

  3. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Software validation checks that the software product satisfies or fits the intended use (high-level checking), i.e., the software meets the user requirements, not as specification artifacts or as needs of those who will operate the software only; but, as the needs of all the stakeholders (such as users, operators, administrators, managers ...

  4. 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.

  5. Modified condition/decision coverage - Wikipedia

    en.wikipedia.org/wiki/Modified_condition/...

    The condition/decision criterion does not guarantee the coverage of all conditions in the module because in many test cases, some conditions of a decision are masked by the other conditions. Using the modified condition/decision criterion, each condition must be shown to be able to act on the decision outcome by itself, everything else being ...

  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. 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.

  8. Software inspection - Wikipedia

    en.wikipedia.org/wiki/Software_inspection

    An inspection is one of the most common sorts of review practices found in software projects. The goal of the inspection is to identify defects. Commonly inspected work products include software requirements specifications and test plans. In an inspection, a work product is selected for review and a team is gathered for an inspection meeting to ...

  9. Software testing tactics - Wikipedia

    en.wikipedia.org/wiki/Software_testing_tactics

    This article discusses a set of tactics useful in software testing.It is intended as a comprehensive list of tactical approaches to software quality assurance (more widely colloquially known as quality assurance (traditionally called by the acronym "QA")) and general application of the test method (usually just called "testing" or sometimes "developer testing").