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    PaulOnFire
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    after performing certain actions such as executing SQL statements against the database and then executing queries to ensure that the expected changes have been reflected. Grey-box testing implements intelligent test scenarios, based on limited information. This will particularly apply to data type handling, exception handling, and so on.[31]
    Testing levels[edit]
    There are generally four recognized levels of tests: unit testing, integration testing, component interface testing, and system testing. Tests are frequently grouped by where they are added in the software development process, or by the level of specificity of the test. The main levels during the development process as defined by the SWEBOK guide are unit-, integration-, and system testing that are distinguished by the test target without implying a specific process model.[32] Other test levels are classified by the testing objective.[32]
    There are two different levels
    Main article: Unit testing,
    Unit testing refers to tests that verify the functionality of a specific section of code, usually at the function level. In an object-oriented environment, this is usually at the class level, and the minimal unit tests include the constructors and destructors.[33]
    These types of tests are usually written by developers as they work on code (white-box style), to ensure that the specific function is working as expected. One functionthe quality of the resulting software as well as the efficiency of the overall development and QA process.
    Depending on the organization’s expectations for software development, unit testing might include static code analysis, data-flow analysis, metrics analysis, peer code reviews, code coverage analysis and other software verification practices.
    Integration testing[edit]
    Main article: Integration testing
    Integration testing is any type of software testing that seeks to verify the interfaces between components against a software design. Software components may be integrated in an iterative way or all together (“big bang”). Normally the former is considered a better practice since it allows interface issues to be located more quickly and fixed.
    Integration testing works to expose defects in the interfaces and interaction between integrated components (modules). Progressively larger groups of tested software components corresponding to elements of the architectural design are integrated and tested until the software works as a system.[34]
    Component interface testing[edit]
    The practice of component interface testing can be used to check the handling of data passed between various units, or subsystem components, beyond full integration testing between those units.[35][36] The data being passed can be considered as “message packets” and the range or data types can be checked, for data generated from one unit, and tested for validity before being passed into another unit. One option for interface testing is to keep a separate log file of data items being passed, often with a timestamp logged to allow analysis of thousands of cases of data passed between units for days or weeks. Tests can include checking the handling of some extreme data values while other interface variables are passed as normal values.[35] Unusual data values in an interface can help explain unexpected performance in the next unit. Component interface testing is a variation of black-box testing,[36] with the focus on the data values beyond just the related actions of a subsystem component.
    System testing[edit]
    Main article: System testing
    System testing tests a completely integrated system to verify that the system meets its requirements.[37] For example, a system test might involve testing a logon interface, then creating and editing an entry, plus sending or printing results, followed by summary processing or deletion (or archiving) of entries, then logoff.
    Operational acceptance testing[edit]
    Main article: Operational acceptance testing
    Operational acceptance is used to conduct operational readiness (pre-release) of a product, service or system as part of a quality management system. OAT is a common type of non-functional software testing, used mainly in software development and software maintenance projects. This type of testing focuses on the operational readiness of the system to be supported, or to become part of the production environment. Hence, it is also known as operational readiness testing (ORT) or Operations readiness and assurance (OR&A) testing. Functional testing within OAT is limited to those tests which are required to verify the non-functional aspects of the system.
    In addition, the software testing should ensure that the portability of the system, as well as working as expected, does not also damage or partially corrupt its operating environment or cause other processes within that environment to become inoperative.[38]
    Testing types[edit]

    TestingCup – Polish Championship in Software Testing, Katowice, May 2016
    Installation testing[edit]
    Main article: Installation testing
    An installation test assures that the system is installed correctly and working at actual customer’s hardware.
    Compatibility testing[edit]
    Main article: Compatibility testing
    A common cause of software failure (real or perceived) is a lack of its compatibility with other application software, operating systems (or operating system versions, old or new), or target environments that differ greatly from the original (such as a terminal or GUI application intended to be run on the desktop now being required to become a web application, which must render in a web browser). For example, in the case of a lack of backward compatibility, this can occur because the programmers develop and test software only on the latest version of the target environment, which not all users may be running. This results in the unintended consequence that the latest work may not function on earlier versions of the target environment, or on older hardware

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