Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to daysQA flow, ...

The rise of artificial intelligence (AI) in quality assurance (QA) has led to a huge shift in the industry. It’s common for people to think about AI as a force that does the work of people, only in a ...

Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows ...

Improved Quality Assurance (QA) and Testing systems have enhanced and accelerated the methods of monitoring and testing software without compromising competitiveness in industry standards, such as ...

Despite being slow, error-prone, and the bane of engineering teams everywhere, manual software testing is the industry norm. An astonishing 81% of software companies still rely on manual end-to-end ...

In the process of developing software, several problems might derail a project, sabotage the design and inflict damage on the bottom line. That's why software testing is so critical to the success of ...

Agentic QA is a strategic part of EPAM's AI/Run™.Tools for Testing as a Service, delivering efficiency, scalability and reduced testing effort for clients. "With Agentic QA, we are reimagining the ...

IT can still test without access to underlying source code. Use agile acceptance testing, address the business logic, and adopt test platforms with machine learning. Quality assurance automation ...

QA Wolf, a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, ...

Financial institutions handle many kinds of sensitive data, including personal data such as client social security numbers, transactional data like bank account and credit card passwords, trade ...