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 review how machine learning has developed, and then explore how ML techniques are radically changing the software testing industry.

Trends in software testing and QA are focused on everything from a rapidly evolving cybersecurity environment to sustainability to a tighter focus on end users’ needs.

Technology has taken significant leaps within the last few years, introducing advancements that have taken us further into the digital age, impacting the software testing industry, and we're ...

MuukTest, a software QA testing startup wants to shake up the market with a new AI agent that generates test suites from a prompt.

To thrive in the evolving software testing landscape, embrace continuous learning and stay updated on emerging technologies, particularly AI and automation tools.

The Evolution of AI in Software Testing: From Machine Learning to Agentic AI By Mike Wager, Contributor Published 02-26-25 Submitted by Keysight Technologies Photo by Mauro Sbicego on Unsplash ...

Current machine learning models that are designed to generate code will enhance developer productivity, according to this Gartner analyst.

Tech - Artificial intelligence is reshaping the future of software quality assurance, and Serhii Romanov, software testing ...

Today’s best software testing courses offer hands-on experience with unit testing, static analysis, automating functional tests and more.

Mabl, a startup that's coming out of stealth today, uses machine learning to make functional testing for developers as easy as possible. Mabl users don't have to write extensive (and often brittle ...