In this article, let’s explore how machine learning is revolutionizing software testing and breaking new ground for QA teams and enterprises alike, as well as how to successfully implement it.

Let’s be blunt. If your primary skill is writing Selenium scripts, clicking recorders, or managing fragile test suites, AI ...

An Interview with Mahidhar Mullapudi Today, we delve into the insights of a pioneer in the field, Mahidhar Mullapudi, who has ...

Testsigma recently announced the winners of its inaugural Customer Awards, highlighting Quality Engineering teams ...

Simply put, you don’t do QA for AI projects like you QA other projects. This is because the concept of what we’re testing, how we test, and when we test is significantly different for AI Projects.

The first wave of generative AI-augmented software testing and automation tools has arrived. Here’s how QA and devops teams will measure their impact.

What QA can do QA can best implement test automation scripts and tools in cases where application processes are repetitive and predictable.

Learn why – and how – you can easily integrate SEO testing into your own QA process to prevent SEO problems from ever going live.

ProdPerfect, a Boston-based startup focused on automating QA testing for web apps, has announced the close of a $2.6 million Seed round co-led by Eniac ...

QA Wolf has exited stealth, securing $20 million for its platform that automates and ostensibly streamlines the process of testing web-accessible software apps.