AI Case Study

Code.org saves 80% testing time by automating user interface testing across different devices and platforms using visual validation tools

Code.org uses Applitools' visual testing platform to automate testing user interface changes. The platform creates a baseline model of the UI and detects any changes and tests them across, devices or software to make sure the color, shape, position and size are as expected. This has made testing 3X easier.

Industry

Technology

Software And It Services

Project Overview

"Visual testing is a quality assurance activity that is meant to verify that the UI appears correctly to users," explained Adam Carmi, co-founder and CTO of Applitools, a dev-tools vendor. Many people confuse that with traditional, functional testing tools, which were designed to help you test the functionality of your application through the UI.

With visual testing, "we want to make sure that the UI itself looks right to the user and that each UI element appears in the right color, shape, position, and size," Carmi said. "We also want to ensure that it doesn't hide or overlap any other UI elements."

Reported Results

According to the company they save 80% of UI testing time.

Technology

"By emulating the human eye and brain, our AI-powered image comparison technology only reports differences that are perceptible to users and reliably ignore invisible rendering, size and position differences."

Function

Information Technology

Quality Assurance

Background

Code.org is a non-profit organization and eponymous website aimed at encouraging coding among students.

Benefits

Data

"Our algorithms can instantly validate entire application pages, detect layout issues, and process the most complex and dynamic pages."
"The company has executed nearly 100 million visual tests to date on its visual AI engine, analyzing billions of individual UX elements. Version 10 includes significant improvements to its Layout Algorithm for dynamic content use cases."