Test automation has always been about speed. We measured success by how many tests we ran per minute and celebrated shorter regression cycles. However, we now stand at the edge of the next evolution.

Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

AI mobile testing refers to the use of artificial intelligence, including machine learning and natural language processing, to handle different stages of the mobile testing lifecycle. Instead of ...

“Automation” is a deceptive term, especially when it comes to automated testing. Instead of completely removing humans from the process, automated testing merely shifts the bulk of the work from ...

In cloud-based software development, continuous integration/continuous deployment (CI/CD) has become the norm, but what about automated testing? Embracing automated ...

Self-healing test automation has been getting a lot of attention lately. The promise is simple: tests that fix themselves ...

In software testing, keeping the user interface consistent and error-free requires regular checks after every update. Teams ...

Generative AI is beginning to transform how software testing is done. Traditional automation tools focused on running predefined steps. GenAI takes it further by creating new test cases, suggesting ...

The competition attracted 128 teams from Egypt, Morocco, Tunisia, Indonesia, Nigeria and Jordan, focusing on AI-powered tools ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...