Author: Michael Battat - Page 3

If you run continuous deployment today, you need high-performance testing. You know the key takeaway shared by our guest presenter, Priyanka Halder: test speed matters.

Elite teams add CI test automation early – and not full development database tests, but simple unit tests that can run in less than 10 minutes and validate code that has been written.

Lisi makes the key point – success in continuous delivery means shortening feedback loops to learn early.  Every point of development and delivery needs validation.

How do you bridge the gap between quality engineering and product management? In October 2019, Evan Wiley from Capital One presented on this topic for an Applitools webinar. Evan introduced…

This course is great for learning Appium with visual testing. Jonathan’s course presents the test code in easy-to-read chunks. If you’re not a Java person, you might not get all the syntax, but you’ll get why things are organized the way they are. (Note – if you’re interested in learning Java, take Angie Jones’s course about the Java language on Test Automation University).

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…

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,…

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.

As you know, I’m taking Raja Rao’s Test Automation University Course, Modern Functional Test Automation through Visual AI. Today we’ll discuss testing iFrames. In Chapter 5, Raja refers to iFrames as…

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.

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,…

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.