Analytical AI ranks risk, flags anomalies and analyzes test failures for automation stability and defect triage, while GenAI ...

In the fast-paced, competitive world of software development, automation testing has become a vital component for achieving efficiency, faster time-to-market, and better software quality. However, ...

Technological advancements with test automation at their forefront help organizations ensure business continuity and attain desired outcomes across any industry. Let’s take a look. The worldwide test ...

AI-powered tooling has been around for quite some time. You may even be using AI-based services without even realizing it. However, they had been mostly a part of a backend and were effective only for ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

In this interview, Sammi Sadler, Senior Applications Engineer at Instron, provides insights into how automation is being introduced for plastics testing and the opportunities this can bring. How would ...

In an age where software drives nearly every aspect of daily life, ensuring its quality at scale has never been more essential. In 2024 alone, global IT spent over $5.1 trillion in expenditures, and ...

What if the very process meant to ensure your AI applications work flawlessly is actually holding you back? Manual testing, once the backbone of quality assurance, is now a bottleneck in the ...

India’s software testing landscape is undergoing a profound transformation. What was once dominated by structured manual testing processes has rapidly evolved into a dynamic, AI-driven ecosystem.