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Regression testing is performed when changes are made to the existing functionality of the software or if there is a bug fix in the software. Regression testing can be achieved through multiple approaches; if a test all approach is followed, it provides certainty that the changes made to the software have not affected the existing functionalities, which are unaltered.
A software performance regression is a situation where the software still functions correctly, but performs more slowly or uses more memory or resources than before. [3] Various types of software regressions have been identified in practice, including the following: [4] Local – a change introduces a new bug in the changed module or component.
Regression testing is typically the largest test effort in commercial software development, [50] due to checking numerous details in prior software features, and even new software can be developed while using some old test cases to test parts of the new design to ensure prior functionality is still supported.
In addition, testing of large numbers of users (performance testing and load testing) is typically simulated in software rather than performed in practice. Conversely, graphical user interfaces whose layout changes frequently are very difficult to test automatically. There are test frameworks that can be used for regression testing of user ...
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]
Regression Testing: Orthogonal array testing is effective in the detection of regressions, ensuring that new updates or modifications do not introduce unintended consequences. Configuration Testing: This technique is valuable in assessing different configurations of software, ensuring compatibility across diverse environments.
In software development, the term was metaphorically adopted to describe a preliminary round of testing that checks for basic functionality. Like its physical counterparts, a software smoke test aims to identify critical failures early, ensuring the system is stable and that all required components are functioning before proceeding to more ...
Thus, a combinatorial technique for picking test cases like all-pairs testing is a useful cost-benefit compromise that enables a significant reduction in the number of test cases without drastically compromising functional coverage. [5] More rigorously, if we assume that a test case has parameters given in a set {} = {,,...