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  2. Database testing - Wikipedia

    en.wikipedia.org/wiki/Database_testing

    A separate database testing team seems advisable. Database testing mainly deals with finding errors in the databases so as to eliminate them. This will improve the quality of the database or web-based system. Database testing should be distinguished from strategies to deal with other problems such as database crashes, broken insertions ...

  3. Software testing - Wikipedia

    en.wikipedia.org/wiki/Software_testing

    Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor. [1] Software testing can determine the correctness of software for specific scenarios but cannot determine correctness for all scenarios. [2] [3] It cannot find all bugs.

  4. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    The database design documented in these schemas is converted through a Data Definition Language, which can then be used to generate a database. A fully attributed data model contains detailed attributes (descriptions) for every entity within it. The term "database design" can describe many different parts of the design of an overall database ...

  5. System testing - Wikipedia

    en.wikipedia.org/wiki/System_testing

    System testing can detect defects in the system as a whole. [citation needed] [1] System testing can verify the design, the behavior and even the believed expectations of the customer. It is also intended to test up to and beyond the bounds of specified software and hardware requirements. [citation needed]

  6. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  7. Development, testing, acceptance and production - Wikipedia

    en.wikipedia.org/wiki/Development,_testing...

    Development, testing, acceptance and production (DTAP) [1] [2] is a phased approach to software testing and deployment. The four letters in DTAP denote the following common steps: Development: The program or component is developed on a development system. This development environment might have no testing capabilities.

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  9. 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.