Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

Synthesized, the AI-native test data automation platform for software and AI agent validation, today announced its ...

Tricentis, a global leader in continuous testing and quality engineering, is introducing its spring release, adding new cloud capabilities for the company’s AI-powered, model-based test automation ...

Development team leaders, engineers, and technicians interested in test automationSummary: This article explains the concrete ...

Agentic AI is a software system that interacts with data and tools with minimal human input. It uses a goal-oriented approach, breaking tasks into steps and completing them on its own. In software ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

SPACE’s Test Automation SDK offers a unified, open Python API that reuses test cases across SIL and HIL environments and ...

Test Cloud can also mix manual and automated testing approaches. According to UiPath, engineers now can have the platform run their manually-developed tests on their applications. A new AI agent ...

A silver lining without the cloud.

Testers need high-quality, diverse and secure data to succeed. This can sometimes be hard to come by. For example, testers might encounter a situation where they need to test a bug or new feature but ...

Generative AI is adding another layer of pressure. Approximately 61% of quality engineering teams are experiencing increased testing requirements as developers generate and modify code more rapidly.

In this Help Net Security interview, Marko Simeonov, CEO of Plainsea, discusses how organizations can move beyond compliance-driven penetration testing toward a more strategic, risk-based approach. He ...