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April 2018, Vol. 1, No. 1

AI in software testing has arrived. Here's why robots rule.

Greg Sypolt, director of quality engineering at USA Today, has just two words for those skeptical about AI in software testing: It works. Using an AI-powered software testing platform, Sypolt's team slashed test times by 90%, tightened the continuous integration loop and managed to move user experience earlier in the development process. This is Sypolt's first foray into AI, and he's a convert -- so much so that he has a list of at least three more problems he'd like to see AI solve. At a time when the pressure to release software quickly matches the pressure from demanding and finicky consumers, the arrival of tools offering AI capabilities seems to promise sweet relief. Software testing, forever the stumbling block when it comes to continuous integration and delivery or DevOps, is particularly ripe for options that can speed up and declutter the process. Today, a handful of companies have added AI to software testing platforms, focusing on everything from user experience (UX) to change impact, defects management and ...

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