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  2. pytest - Wikipedia

    en.wikipedia.org/wiki/Pytest

    Pytest's markers can, in addition to altering test behaviour, also filter tests. Pytest's markers are Python decorators starting with the @pytest. mark.< markername > syntax placed on top of test functions. With different arbitrarily named markers, running pytest -m <markername> on the command line will only run those tests decorated with such ...

  3. List of unit testing frameworks - Wikipedia

    en.wikipedia.org/wiki/List_of_unit_testing...

    Open source unit testing framework modeled after JUnit and based on the Oracle PL/SQL object system: No ruby-plsql-spec: Yes [532] PL/SQL unit testing with Ruby open source libraries: Yes DBFit [533] Write, manage and execute tests directly from the browser. DbFit is written on top of FitNesse, a mature, fully featured framework with a large ...

  4. Correlated subquery - Wikipedia

    en.wikipedia.org/wiki/Correlated_subquery

    In a SQL database query, a correlated subquery (also known as a synchronized subquery) is a subquery (a query nested inside another query) that uses values from the outer query. This can have major impact on performance because the correlated subquery might get recomputed every time for each row of the outer query is processed.

  5. 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 ...

  6. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]

  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. SQL syntax - Wikipedia

    en.wikipedia.org/wiki/SQL_syntax

    SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.

  9. V-model - Wikipedia

    en.wikipedia.org/wiki/V-Model

    One fundamental characteristic of the US V-model is that time and maturity move from left to right and one cannot move back in time. All iteration is along a vertical line to higher or lower levels in the system hierarchy, as shown in the figure. [3] [4] [7] This has proven to be an important aspect of the model. The expansion of the model to a ...