While AI has changed the world in general, its effects have also made a strong impact on the field of quality assurance (QA).
First, let's look at a few of the ways that AI can support the QA process:Prior to the mass introduction of AI, the QA process was primarily manual. For software developers, ensuring the quality of an application was a painstaking effort. Sure, it involved the use of sophisticated tools, but the programmer was still running numerous tests, searching through lines upon lines of code and applying fixes one by one.
Until now, testing UX has typically been a job relegated to people due to its complexity and subjectivity. Now, though, AI has become advanced enough to copy human interactions. This lets AI become a useful contributor in the testing of UX, which makes the testing faster and can lead to better results.In this type of testing, the tester does not follow a predetermined path, but is able to explore the application freely.
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