Even sophisticated businesses struggle with software testing. End-to-end (E2E) testing, though vital, has remained a costly and inconsistent method of catching bugs. But there’s a light at the end of this tunnel. Advances in machine learning (ML) have increased test execution speed and stability. Now, technologies are emerging that allow machines to analyze live user traffic to produce test cases—using data to focus E2E testing on what users care about. In time, these technologies will be stitched together to allow machines to own the entire E2E testing process. This seismic shift...
Daniel Widing
ProdPerfect
Dan Widing is CEO and co-founder at ProdPerfect, where he’s fixing the web by analyzing live user traffic to automate QA engineering. Before founding ProdPerfect, Dan was director of engineering at WeSpire, making enterprise employee engagement software. And before that, he ran engineering for a number of startups and was a software performance consultant to Fortune 500 companies at Avanade. He graduated the University of Illinois Urbana–Champaign with a bachelor's of science in materials engineering.