A recent update to the European Union’s Product Liability Directive (PLD) redefines safety-related responsibilities and risks for software producers. The new directive becomes enforceable in December 2026 and is designed to strengthen consumer protection in a society that is increasingly dependent on software. The directive is focused on safeguarding individuals and therefore only applies to safety-related defects that harm individuals.

As global maritime challenges intensify, the pressing need for the U.S. Department of Defense to modernize its maritime technology has never been more critical. At WEST 2025 in San Diego, Navy, Marine Corps, and Coast Guard leaders called for cutting-edge technologies to improve readiness and new capabilities to support multi-domain operations. And while IT modernization topped the DoD’s priorities, a new conversation about testing emerged.

In today’s fast-paced digital world, delivering seamless and efficient web application performance is non-negotiable. But there’s a major area that is often overlooked in performance engineering: remote terminal emulation (RTE). For organizations relying on mainframes or other legacy, terminal-based systems, blind spots in performance testing can introduce vulnerabilities that compromise the front-end web processes that rely on them.

With the newest release of Tricentis LiveCompare, we have updated SAP HANA apps, the Smart Impact apps dashboard, and other aspects to improve your experience. With new features for templates, reports, accessibility, user interface, performance, and test repositories, LiveCompare has even more robust capabilities to enable your organization to have a fast, efficient, and trustworthy testing process.

At Tricentis, we’re committed to making test management smarter, more efficient, and customizable. With the latest release of Tricentis Test Management (TTM) for Jira, we’re introducing new features to enhance your test execution efficiency and provide greater control and visibility. Key updates include unified global and requirement execution progress reporting, greater AI customization across projects, and enhanced test review and execution.

In today’s interconnected digital world, software development and testing often hinge on APIs and dependent systems. These systems are the backbone of modern applications, but they can also create bottlenecks when they’re unavailable, costly, or challenging to work with. Tricentis API Simulation eliminates these barriers, enabling teams to accelerate development, reduce costs, and deliver high-quality software with confidence.

“AI is amazing at guessing quickly, but it fundamentally can’t reason.” That is a quote from someone I know very well, circa 2022. I wonder what the thought process was; the reasoning that went into that statement. Luckily I don’t have to guess, because that person was me. I made that statement in response to the first rounds of LLMs (GPT3, 3.5, PALM2 etc). It remained a firm conviction of mine through the release of GPT-4o and Anthropic’s latest Claude models.

The pod model is an innovative approach that many enterprises, both small and large, are adopting to enhance their software development and quality assurance processes. This model involves creating small, cross-functional teams known as pods. Similar to an Agile or scrum team, each pod typically consists of five to ten members, including developers, testers, and a quality engineer (QE) or quality assurance engineer (QAE).

When selecting a test automation solution for your mobile applications, it quickly becomes clear there are many decisions to consider.

The holiday rush can be a make-or-break moment for retailers and e-commerce businesses. But the real challenge? Keeping those seasonal shoppers coming back long after the decorations come down. Following plentiful December 2023 sales, many retailers were surprised to start the new year with a sales slump as consumer spending dwindled. The Commerce Department reported that in January 2024, U.S. retail sales dropped 0.8% – much farther than economists expected.