Systems | Development | Analytics | API | Testing

The latest News and Information on Software Testing and related technologies.

NeoLoad in 2026: Building on 2025's innovations

After a year of breakthrough innovation in 2025, Tricentis NeoLoad is headed into 2026 with even bigger goals: more intelligence, more automation, and more speed for performance testing at scale. In the coming year, NeoLoad will continue to provide the advanced foundational features to support effective performance engineering practices as well as intelligent workflows that enable quality and performance teams to work more efficiently than ever before.

5 Key Practices to Manage and Maintain Perforce IPLM

Your Perforce IP Lifecycle Management (IPLM) software is a critical asset that benefits from regular management and maintenance. However, managing IPLM can be complex. The scale of deployments can range from a single server to twenty or thirty instances across the globe. An IPLM environment includes a variety of services, such as PI Server, PI Web, PI Cache, Neo4j, Redis, and MongoDB, each with its own set of configurations and log files.

The Top 5 Developer Time Sinks: How to Improve Developer Productivity | Webinar Clip

Want your developers to get back to what they do best: application development? We have a solution to the barriers hindering developer productivity. Take a look at the top 5 time sinks — including meetings and environment setup — in this snippet from our recent webinar From Waiting to Innovating: Reclaim 40% of Developer Time Overnight. Find out how to improve your team’s developer experience.

Reaching Autonomous Software Quality | From the Bear Cave

AI has changed how software is written, but testing and quality haven’t kept up at the same pace. In the first episode of our "From the Bear Cave" discussion series, SmartBear CEO Dan Faulkner and VP of Product, AI, Bridges Smith talk through the Levels of Autonomy in software development, why non-code-based testing must become more autonomous, and what it will take to close the gap between AI coding and ensuring trustworthy software.

Requirements Engineering: 9 Best Practices with Examples

If you work in a regulated industry like medical device design, automotive engineering, or aerospace, you understand that requirements are the bedrock of product development. Without clear, effective requirements, your team risks compliance failures, scope creep, and costly rework. Requirements engineering is the disciplined application of proven principles, methods, and tools to describe the behavior of a proposed system.

Digital Twins Gone Wild: My Unexpected AI Doppelgänger

I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me… and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor—or a very different definition of “twin.” Forget Arnold Schwarzenegger and Danny DeVito.

Streamline Code Testing with Proxymock

Tired of complex setups and running out of memory just to test one component? Learn how to use Proxymock (a FREE tool) to solve your biggest testing headache: component isolation! This demo shows you how to record and mock interactions across a complex React, Golang, and PostgreSQL stack, allowing you to find bugs before they ever hit production. In This Demo: This strategy lets you easily isolate components, simulate customer behavior, and ensure quality with lightning-fast local testing.

How to Test Your React Frontend When the Backend Is Offline #speedscale #frontend #backend #coding

Software development is hard, especially when you have to ensure every component works together; it's an integration maze! And running a full stack (like React, Go, and Postgres) on your dev machine often means one thing: running out of memory! The Fix: We'll show you how to use Proxymock to record your components, effectively letting you run the frontend (or any component) completely isolated.

Modernizing Oracle testing: 2 organizations, 2 approaches

When Oracle updates hit, many IT teams brace for impact. Backlogs swell, manual checks slow releases, and a patch that should take hours can stretch into days. For enterprise teams running Oracle at scale, outdated testing tools can be inefficient, costly, and difficult to manage. At Oracle AI World, two global organizations shared the stories of how they moved past those bottlenecks.