AI Is Key to Agile Testing Speed

Jason Arbon

Speed is king in agile. In a world where most of the agile process is automated, testing is the slowest and most expensive part of getting your app or website deployed to the world. Very few app teams have a decent amount of test automation, and even they still have days of manual testing during each agile cycle before they release new versions of their app. Testing is difficult, especially at the UI level, which is why it is still relegated to humans. But all that is changing with the application of artificial intelligence and machine learning. Join Jason Arbon as he explains how agile testing is ripe for disruption because AI itself is based on examples of input and output—which sounds a whole lot like the testing activity. He'll talk about how AI can test and learn at the scale of hundreds or even thousands of apps, can eliminate much of the hand-crafted pain of test definition and execution, and can run the same test on multiple apps—eliminating much of the need for custom testing in the first place. AI and machine learning for testing is here, it is real, and it will change the world of testing for the better.

About the Presenter

Jason Arbon is the CEO at where his mission is to test all the worlds apps. Google’s AI investment arm lead’s latest funding round. Jason previously worked on several large-scale products: web search at Google and Bing, the web browsers Chrome and Internet Explorer, operating systems such as Windows and ChromeOS, and crowd-sourced testing infrastructure and data at Jason has also co-authored books such as How Google Tests Software and App Quality: Secrets for Agile App Teams .

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