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Pytest was developed as part of an effort by third-party packages to address Python's built-in module unittest's shortcomings. It originated as part of PyPy, an alternative implementation of Python to the standard CPython. Since its creation in early 2003, PyPy has had a heavy emphasis on testing. PyPy had unit tests for newly written code ...
This can be modified by options to the doctest runner. In addition, doctest has been integrated with the Python unit test module allowing doctests to be run as standard unittest testcases. Unittest testcase runners allow more options when running tests such as the reporting of test statistics such as tests passed, and failed.
A unit testing framework for Extract-Transform-Load processes, written in Java. Capable of testing Oracle, Informatica, SqlServer, PostGreSQL, MySQL, etc. [306] EvoSuite [307] A test case generation tool that can automatically generate JUnit tests. GrandTestAuto [308] GrandTestAuto (GTA) is a platform for the complete automated testing of Java ...
Unit testing is the cornerstone of extreme programming, which relies on an automated unit testing framework. This automated unit testing framework can be either third party, e.g., xUnit, or created within the development group. Extreme programming uses the creation of unit tests for test-driven development. The developer writes a unit test that ...
Test scripts written as a short program can either be written using a special automated functional GUI test tool (such as HP QuickTest Professional, Borland SilkTest, IBM TPNS and Rational Robot) or in a well-known programming language (such as C++, C#, Tcl, Expect, Java, PHP, Perl, Powershell, Python, or Ruby). As documented in IEEE, ISO and IEC.
Having test cases depend on system state manipulated from previously executed test cases (i.e., you should always start a unit test from a known and pre-configured state). Dependencies between test cases. A test suite where test cases are dependent upon each other is brittle and complex. Execution order should not be presumed.
In-line setup creates the test fixture in the same method as the rest of the test. While in-line setup is the simplest test fixture to create, it leads to duplication when multiple tests require the same initial data. Delegate setup places the test fixture in a separate standalone helper method that is accessed by multiple test methods.
In model-based testing, one distinguishes between abstract test suites, which are collections of abstract test cases derived from a high-level model of the system under test, and executable test suites, which are derived from abstract test suites by providing the concrete, lower-level details needed to execute this suite by a program. [2]