North Carolina is often cited as the face of the technology revolution in America. The world celebrates the Research Triangle, which attracts large global companies, and the astonishing growth of ...

For most enterprises deploying AI in 2026, the honest answer is “not very.” That's what executives told us when my team ...

Test automation has traditionally been associated with programming skills, making it difficult for manual testers, business analysts, and other non-technical team members to contribute. As ...

Nine requirements management tools for medical device development ranked by traceability, compliance support, and regulatory readiness for FDA and EU MDR.

As a business grows, software testing becomes more difficult to manage. More releases, larger teams, and expanding ...

AI-driven testing is reshaping software quality assurance with intelligent, self-adapting automation. By leveraging machine learning and natural language processing, it enables codeless testing, ...

A few years ago, I would have measured the success of a test automation suite by one thing: the bugs it found. The logic seemed straightforward. If automation identified defects before they reached ...

Six leading test automation tools scored on a transparent, weighted rubric with the reasoning behind each score and how to reweight it for your team.

Abstract: With the rise of autonomous systems (AS) and agentic artificial intelligence (AI), a heightened automation of testing processes is required to build, deploy, or repair reliable intelligent ...

Abstract: This article explores the application of Large Language Models (LLMs), including proprietary models such as OpenAI’s ChatGPT 4o and ChatGPT 4o-mini, Anthropic’s Claude 3.5 Sonnet and Claude ...