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Wednesday, April 26, 2017 - 1:00pm to 4:30pm

Harness Artificial Intelligence to Power Your Mobile Testing

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Artificial intelligence (AI) and machine learning are changing the world of software. Jason Arbon explains how to use them as tools to speed up and scale up your testing. The future of mobile and IoT software testing will be a blend of people working alongside AI systems. These AI systems will perform most of the drudgery of software testing so people can focus on the creative and non-obvious testing that is most appreciated by developers and product managers. These AI systems will find insights across large sets of data that human testers simply cannot divine alone. In this interactive tutorial, Jason provides a brief overview of how machine learning works and how you can start applying it to common testing problems today—verifying application output, triaging bug reports, and automatically assigning new features to testers. These techniques can be run in-class and also brought back to apply to your real-world testing. Join Jason as he demystifies the topic of smart machines and provides hands-on, real-world examples of how to harness the power of AI to make your testing more effective and fun.

Jason_Arbon
Appdiff, Inc.

Jason Arbon is the CEO of Appdiff, which is redefining how enterprises develop, test, and ship mobile apps with zero code and zero setup required. He was formerly the director of engineering and product at Applause.com/uTest.com, where he led product strategy to deliver crowdsourced testing via more than 250,000 community members and created the app store data analytics service. Jason previously held engineering leadership roles at Google and Microsoft and coauthored How Google Tests Software and App Quality: Secrets for Agile App Teams.