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Regression testing is done after functional testing has concluded, to verify that the other functionalities are working. In the corporate world, regression testing has traditionally been performed by a software quality assurance team after the development team has completed work. However, defects found at this stage are the most costly to fix.
All major statistical software packages perform least squares regression analysis and inference. Simple linear regression and multiple regression using least squares can be done in some spreadsheet applications and on some calculators. While many statistical software packages can perform various types of nonparametric and robust regression ...
Regression testing techniques often leverage existing test cases to minimize the effort involved in creating them. [7] However, due to the volume of these existing tests, it is often necessary to select a representative subset, using techniques such as test-case prioritization .
Regression testing is used to check if any new bugs have been introduced through previous bug fixes. Regression testing is conducted after every change or update in the software features. This testing is periodic, depending on the length and features of the software. [11]
VCR testing, also known as "playback testing" or "record/replay" testing, is a testing technique for increasing the reliability and speed of regression tests that involve a component that is slow or unreliable to communicate with, often a third-party API outside of the tester's control.
The test was developed by James B. Ramsey as part of his Ph.D. thesis at the University of Wisconsin–Madison in 1968, and later published in the Journal of the Royal Statistical Society in 1969. [ 1 ] [ 2 ]
Beta testing is done during beta stage of development. Often this refers to the first publicly available version of a game. Public betas are effective because thousands of fans may find bugs that the developer's testers did not. Regression testing is performed once a bug has been fixed by the programmers. QA checks to see whether the bug is ...
Multivariate regression attempts to determine a formula that can describe how elements in a vector of variables respond simultaneously to changes in others. For linear relations, regression analyses here are based on forms of the general linear model. Some suggest that multivariate regression is distinct from multivariable regression, however ...