AI for Software Testing

AI will fundamentally transform software testing. Testers make quick judgments based on data. AI makes even quicker judgments based on far more data. No area of software testing will be left unchanged by AI. In this presentation, Jason demonstrates how AI is directly applicable to all aspects of testing: functional regression automation, exploratory testing, test data generation, performance, and even qualitative measures of quality such as trustworthiness, usability, and more. Jason applies neural networks, reinforcement learning, and clustering to testing problems and shares the methods and results. Jason also discusses how AI makes test artifacts reusable, and how this will change software testing forever. Join and see the future of software testing powered by AI.

Jason Arbon is the CEO at test.ai where the mission is to test all the world’s apps. Google’s AI investment arm lead test.ai’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 at uTest.com. Jason has also co-authored books such as How Google Tests Software and App Quality: Secrets for Agile App Teams.