Ask HN: Are you using machine learning to do UI testing?
Web and mobile UIs are constantly changing slightly, and testing frameworks tend to be brittle; has anyone had luck applying machine learning to make them more robust — either the inputs or the outputs?
For example, "Here's what I want; see if you can still make it happen without too much of a change in your routine."
Or "Here's what I want; tell me if it changes fundamentally, but not if it changes a little."
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[ 2.7 ms ] story [ 14.0 ms ] threadhttps://www.ebayinc.com/stories/blogs/tech/gui-testing-power...
> ... writing and maintaining test suites and scripts for multiple platforms [TestNG, Selenium, Appium, IOS Driver, Selandroid, etc] take considerable time and effort and come at the risk of reducing the test scope.
> Contemporary developments in DL unleashes efficiencies in GUI testing and in the software lifecycle, potentially. A recent pilot, described below, proved this approach to be realistic and practical.