When we trust AI in testing, we can do so much more with it, but it also presents so much more risk when it betrays our confidence.
As a result, the most important question is: how do you approach AI testing?
How can you maintain a high level of skepticism to safeguard your organization from its strident pronouncements while also believing it just enough to reap its incredible power?
And the answer is that AI will not be able to fix all of your issues.
It won't "complete all of the tests". It can potentially cause you some new issues. Successful firms, on the other hand, have discovered the sweet spot, where testers' capabilities expand because teams are aware of the existing constraints of AI in testing.
Visit the V2Soft website for additional information.
Related Topics:
What is Ai testing and how does it work?
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