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be·ta test
/ˈbādə ˌtest/noun
- 1. a trial of machinery, software, or other products, in the final stages of its development, carried out by a party unconnected with its development.
verb
- 1. subject (a product) to a beta test: "the system was still being beta-tested for practical music applications"
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Beta testing is the next phase, in which the software is tested by a larger group of users, typically outside of the organization that developed it. The beta phase is focused on reducing impacts on users and may include usability testing.
Beta testing comes after alpha testing and can be considered a form of external user acceptance testing. Versions of the software, known as beta versions, are released to a limited audience outside of the programming team known as beta testers.
What is a beta? A beta is a pre-release version of any given product that's not yet been qualified for general distribution. As beta software is incomplete. Is...
Playtest. A playtest is the process by which a game designer tests a new game for bugs and design flaws before releasing it to market. Playtests can be run "open", "closed", "beta", or otherwise, and are very common with board games, collectible card games, puzzle hunts, role-playing games, and video games, for which they have become an ...
Beta testing at AOL is all about you, the user and tester! Of course, it's important to be well prepared, understand how you can contribute and work within the community effectively — That's...
AOL Desktop is back with a new Beta! AOL's premier all-in-one software is back in beta with an ALL NEW version and we want your help to test it. Join our beta by visiting the AOL Desktop beta page to learn more about this beta and how to get involved.
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 ...
Type I and type II errors. In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false.
A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research methodology. 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.
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