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  2. Database testing - Wikipedia

    en.wikipedia.org/wiki/Database_testing

    The design of forms for automated database testing, form front-end and back-end, is helpful to database maintenance workers. Data load testing: For data load testing, knowledge about source database and destination database is required. Workers check the compatibility between source database and destination database using the DTS package.

  3. Davies–Bouldin index - Wikipedia

    en.wikipedia.org/wiki/Davies–Bouldin_index

    The Davies–Bouldin index (DBI), introduced by David L. Davies and Donald W. Bouldin in 1979, is a metric for evaluating clustering algorithms. [1] This is an internal evaluation scheme, where the validation of how well the clustering has been done is made using quantities and features inherent to the dataset.

  4. Data-driven testing - Wikipedia

    en.wikipedia.org/wiki/Data-driven_testing

    Each test begins with a copy of the "before" image reference database. The "user interactions" are replayed through the "new" GUI version and result in the "post test" database. The reference "post test" database is compared to the "post test" database, using a tool. [3] Differences reveal probable regression. Navigation through the program ...

  5. pytest - Wikipedia

    en.wikipedia.org/wiki/Pytest

    Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests. Its features include parametrized testing, fixtures, and assert re-writing.

  6. Sandbox (software development) - Wikipedia

    en.wikipedia.org/wiki/Sandbox_(software_development)

    A sandbox is a testing environment that isolates untested code changes and outright experimentation from the production environment or repository [1] in the context of software development, including web development, automation, revision control, configuration management (see also change management), and patch management.

  7. 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]

  8. Comparison of integrated development environments - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_integrated...

    Microsoft Visual Studio (formerly Python Tools for Visual Studio [53]) Microsoft 16.9 2021-03-02 Windows: C++ and C#: Windows Forms and WPF, through IronPython: Python tools under Apache License 2.0: Yes Yes Yes No Un­known Un­known Un­known Yes [54] Un­known Un­known Yes Basic refactoring Yes Yes MonoDevelop: Novell and the Mono community ...

  9. Cucumber (software) - Wikipedia

    en.wikipedia.org/wiki/Cucumber_(software)

    Gherkin is the language that Cucumber uses to define test cases. It is designed to be non-technical and human readable, and collectively describes use cases relating to a software system. [ 7 ] [ 8 ] [ 24 ] [ 25 ] The purpose behind Gherkin's syntax is to promote behavior-driven development practices across an entire development team, including ...