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

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

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 ...

Agentic artificial intelligence is the new belle of the software ball. C-level executives want their companies to use AI agents to move faster, therefore driving vendors to deliver AI agent-driven ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

Worldwide engineering teams support AI development services, SaaS product development, and enterprise software ...

Offensive security has spent years caught between two extremes: deeply manual penetration tests that do not scale, and automated scanners that scale easily but surface volumes of low-confidence ...

The wider aim is nothing short of “transforming the entire system development process”, according to Hideto Okada, Head of AI Strategy and Business Development Unit, Fujitsu Limited, with a particular ...