Autonomous testing refers to the practice of using automated tools and technologies to conduct software testing without requiring human intervention. It involves leveraging various artificial intelligence (AI) and machine learning (ML) techniques to enable software systems to test themselves.

Traditionally, software testing has relied heavily on manual efforts, where human testers design and execute test cases to validate the functionality, performance, and other aspects of the software. Autonomous testing aims to augment or replace manual testing by automating the testing process, reducing human effort, and increasing efficiency.

In QA&TEST Embedded, we have allocated a 4-hour tutorial to this topic. With the guidance of our speaker, Marcel Veselka, we will explore the advantages of adopting autonomous visual regression testing and its potential to enhance the efficiency and speed of the software development process. Attendees will gain insights on optimizing visual regression testing through automation, leading to a more seamless and streamlined workflow. The tutorial will offer practical tips and techniques for seamlessly integrating autonomous testing into the development cycle, enabling attendees to grasp the impact of this technology on their overall productivity.