Visual aspects matter, very much. When talking about high-quality user experience, an application’s UI is just as important as all the functionalities and cannot be overlooked.
For visual testing, many teams choose to perform manually or use the pixel-comparison method for automation. The problem with the former approach is that it takes too much time and resources. The latter, on the other hand, can result in many false positives since just a few mismatched pixels are enough to cause the tests to fail. In reality, these mismatches are acceptable to human eyes.
Katalon leverages AI for visual testing. With layout-based and content-based comparison methods, users can overcome the problem of false positives and focus on the major UI changes that really matter to humans. For more information on Katalon visual testing, click here.
This course demonstrates the seamless setup and reliability of Katalon visual testing. In three chapters, you will learn about:
have a transcript.
have more of end-to-end test (add a visual ignore zone and confirm the version increases)
It's an excellent overview on the capability that Katalon Platform offers on Visual Testing.
Content is probably alright, but production quality really detracted from learning much. Video quality is terrible - cannot watch in full screen. Also, audio is bad. I'm listening through headphones to try to get the best experience. The intro/leader for all of these videos in all of the courses I've watched so far is WAY too loud and should be normalized with the quieter audio of the instructor.