You’re running functional tests with visual validation, and you have dynamic data. Dynamic data looks different every time you inspect it. How do you do functional testing with visual validation, when your data changes all the time? I arrived at Chapter 7 of Raja Rao DV’s course on Test Automation University, Modern Functional Test Automation Through Visual […]
How to use Genymotion, Appium, and Applitools to do visual UI testing of native mobile Android applications.
Imagine this. You built a page with CanvasJS, and you want to test the graphs. How do you create an automated test for the graphical representations? It’s testing dynamic content, after all. This question haunts most test developers. In lots of cases, companies do lots of manual tests on the first release to make sure […]
Angie walks you through various scenarios and shows how Applitools Eyes will let you create a baseline for your test, and then see how Applitools spots visual differences as you make modifications to the app you are testing. She also shows you how easy it is to either accept differences (to create a new baseline) or reject differences (to flag a failure).
The first chapter compares modern functional testing with Visual AI against legacy functional testing with coded assertions of application output. Raja states that Visual AI allows for modern functional testing while using an existing functional test tool that relies on coded assertions results in lost productivity.
How do you test a table? Most online tables include advanced table functions, including sorting and filtering. How do you test all this?
The key to becoming a Test Automation Rockstar is to learn how to use Applitools. And we have 40,000 reasons as an incentive for you to learn Applitools now.
Data-driven testing helps build and scale test automation – until you have to maintain your tests. Visual AI helps you test without growing your test code.
With today’s standards, developers can develop once, test in development, and assume they are done. Legacy QA productivity remains limited because QA must still run tests one device, operating system, browser, and viewport size at a time. All the tools that provide test scaling still require validation one-at-a-time, either because tools ignore rendering or flag too many erroneous visual differences. Until Applitools introduced Visual AI testing with Ultrafast Grid.
Visual AI simplifies your functional test while adding visual coverage. Visual AI compares rendered output against rendered output. If visual differences exist, you can identify those as intended or not.
Test code can get as messy as a network closet. Your test code is a mess. You’re not quite sure where anything is anymore. The fragility of it is causing your builds to fail. You’re hesitant to make any changes for fear of breaking something else. The bottom line is that your tests do not spark joy, […]
For years, the automated visual testing of PDFs was incredibly challenging, if not impossible. Because of this, teams would automate their UI tests but would skip the part where they visually test that their PDF artifacts were accurate. This then became the boring, mundane, error-prone task left for the testers to repeat release after release. […]