Modern Functional Testing – Caveats and Conclusion In reaching the conclusion of the course on Modern Functional Testing using Visual AI, I reach the key question: Can I use visual assertions to replace text-based assertions for my test infrastructure?
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.
Applitools Eyes 10.7 introduces a new set of built-in metrics, called Insights. Insights provides you with a visual display showing your current test status, including passing tests out of all tests run, failing tests, as well as new results to inspect and evaluate. You can view your overall results, as well as filter your results by batch run or by team – as well as report results over a specific date range. With Applitools Eyes Insights, you can track the progress of your visual testing projects.
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 […]
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.
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.
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. […]
The other day, I was supposed to meet a colleague for drinks at the local bar. He was a bit late, as he got delayed at work. When he arrived at the bar, after a drink or two, he asked if I could take a look at the problem he had. “Sure, why not,” I […]
The QA team is the last frontier before your customers get their hands on your latest product version. Assuming your testing team has already completed smoke testing, integration tests, functional tests, end-to-end tests, acceptance tests and performance tests (not necessarily in that order) there’s still one piece of the puzzle: visual UI testing of your […]