Machine learning is transforming software engineering by integrating sophisticated data-driven algorithms into traditional development practices. This interdisciplinary area has expanded rapidly, ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

While thorough testing and quality assurance checks have always been important steps in the software release and updating processes, they’re taking on a new and higher significance in an ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...