STARWEST 2017 Concurrent Session - Machine Learning: Will It Take Over Testing? | TechWell

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Wednesday, October 4, 2017 - 3:00pm to 4:00pm

Machine Learning: Will It Take Over Testing?

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Machine learning (ML), a branch of artificial intelligence, is gaining widespread adoption and interest on software development projects. Paul Merrill says that ML isn't typical programming. Algorithms can be changed and checked for accuracy at runtime to “learn” from data. Some companies are already generating and executing test cases using machine learning algorithms. It is projected that significant areas of the labor force—16 percent in transportation and 9 percent of healthcare—could see job cuts in the next few years. So it's time to start thinking: Might testing be on that list? Join Paul Merrill to gain a basic understanding of the three types of machine learning: supervised, unsupervised, and reinforcement. Discover where machine learning is being used and the scope of its impact. Learn how ML-driven tools are already replacing some testing activities. Paul shares expert insights gathered from leaders in the field of machine learning. Decide for yourself … will machine learning take over testing jobs?

Paul_Merrill
Beaufort Fairmont

Paul Merrill is principal software engineer in test and founder Beaufort Fairmont Automated Testing Services. Paul works with clients every day to reduce risk to their brands, customers, and reputation, and to increase the efficacy of their testing processes. He takes personally the company mission—“to rid the world of bad code.” An entrepreneur, tester, and software engineer, Paul has a unique perspective on launching and maintaining quality products. He co-hosts Reflection as a Service, a podcast about software development, testing, and entrepreneurship. Follow Paul on Twitter @dpaulmerrill.