List of Classes and Methods of samples.mockpolicy.frameworkexample package of Powermock Framework

In some sense, testing can be more difficult than coding, as validating the efficiency of the test cases (i.e., the ‘goodness’ of your tests) can be much harder than validating code correctness. In practice, the tests are just executed without any validation beyond the pass/fail verdict. On the contrary, the code is (hopefully) always validated by testing. By designing and executing the test cases the result is that some tests have passed, and some others have failed. Testers do not know much about how many bugs remain in the code, nor about their bug-revealing efficiency.

We launched LT Browser in 2020, and we were overwhelmed by the response as it was awarded as the #5 product of the day on the ProductHunt platform. Today, after 74,585 downloads and 7,000 total test runs with an average of 100 test runs each day, the LT Browser has continued to help developers build responsive web designs in a jiffy.

I routinely come across test strategy documents when working with customers. They are lengthy—100 pages or more—and packed with monotonous text that is routinely reused from one project to another. Yawn once more— the test halt and resume circumstances, the defect management procedure, entrance and exit criteria, unnecessary generic risks, and in fact, one often-used model replicates the requirements of textbook testing, from stress to systems integration.

ChatGPT broke all Internet records by going viral in the first week of its launch. A million users in 5 days are unprecedented. A conversational AI that can answer natural language-based questions and create poems, write movie scripts, write social media posts, write descriptive essays, and do tons of amazing things. Our first thought when we got access to the platform was how to use this amazing platform to make the lives of web and mobile app testers easier. And most importantly, how we can use ChatGPT for automated testing.