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A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research method. [1] A/B tests consist of a randomized experiment that usually involves two variants (A and B), [ 2 ] [ 3 ] [ 4 ] although the concept can be also extended to multiple variants of the same variable.
In computer science, all-pairs testing or pairwise testing is a combinatorial method of software testing that, for each pair of input parameters to a system (typically, a software algorithm), tests all possible discrete combinations of those parameters.
Manual testing is the process of manually testing software for defects. It requires a tester to play the role of an end user where by they use most of the application's features to ensure correct behaviour. To guarantee completeness of testing, the tester often follows a written test plan that leads them through a set of important test cases.
Smoke testing is also done by testers before accepting a build for further testing. Microsoft claims that after code reviews, "smoke testing is the most cost-effective method for identifying and fixing defects in software". [10] One can perform smoke tests either manually or using an automated tool. In the case of automated tools, the process ...
For instance, usability testing is used to collect data about usability construct. [3] Methods also differ if they are to measure a momentary or episodic experience (i.e., assessing how a person feels about a specific interaction episode or after executing a task) or an experience over time, also known as an longitudinal experience.
Hallway testing, also known as guerrilla usability, is a quick and cheap method of usability testing in which people — such as those passing by in the hallway—are asked to try using the product or service. This can help designers identify "brick walls", problems so serious that users simply cannot advance, in the early stages of a new design.
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