AI is now often talked about in relation to how it can be employed in testing, so how do we go about testing a technology that is used for testing?
A tester's true goal is to spark change and clear thinking about what not to test helps liberate resources. Here are five kinds of tests you should reconsider.
Does "testing in production" (TiP) sound like crazy talk? Does the thought of working right next to customer data sound as comfortable to you as cooking dinner next to a crocodile pool?
Working data scientists recognize that the data side of a project often demands the most effort and ingenuity. See where to find the best data.
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