Abstract: The growing complexity of software systems and the need for more rapid, high-quality software releases have created the need for intelligent and automated testing mechanisms. Drawing on ...

Automation and artificial intelligence are often positioned as the antidote to clinician burnout and administrative overload. From ambient documentation to automated prior authorizations, the promise ...

The National Institute of Standards and Technology is asking industry, government and research stakeholders to weigh in on a new draft framework aimed at improving how language models are evaluated ...

ServiceNow implementations evolve through frequent configuration changes, scoped application releases, and scheduled platform upgrades. These changes elevate regression risk across mission-critical ...

The review identified five articles, three with deep-learning approaches and two that used rule-based algorithms. Together, they analysed more than 41,000 ROCFT drawings with diverse capture methods.

AI agents are rapidly transforming software, with projections of over a billion agents in operation by 2028. These agents, embedded in products like VS Code and M365 Copilot, perform increasingly ...

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, ...

While the industry discusses the potential of AI agents in test automation, most solutions remain experimental. The Unified MCP Server changes this by providing a production-ready platform that ...

Automated testing of a public chatbot API using Python and Pytest to validate response codes, performance, and JSON data accuracy. Focused on ensuring API reliability and quick response times.