Systems | Development | Analytics | API | Testing

Tricentis LiveCompare: Improve your efficiency with new advancements in change intelligence technology

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.

Unlock efficiency with Tricentis Test Management for Jira: AI configuration, custom fields, global reporting

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.

Unlocking efficiency: 5 key use cases for Tricentis API simulation

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.

DeepSeek and the rise of AI reasoning

“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.

Delivering Oracle quality at scale with the pod model

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).

From holiday rush to year-round loyalty: 5 Steps to master post-holiday experiences for seamless performance

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.

Tricentis Testim Salesforce: Accelerate quality with no-code testing

As Salesforce expands its no-code capabilities, users transform into no-code developers as they create complex workflows using tools such as Lightning Web Pages and Salesforce Flow. As is the case with coded changes, these no-code changes impact and potentially introduce risk into critical processes. Thorough testing is needed to ensure changes align with business requirements and maintain system reliability.

What's new in Tricentis Vera 2024.3

We are excited to announce the release of Tricentis Vera 2024.3, delivering further enhancements to approval workflows, user management, system integrations, and performance optimizations for the native Tricentis Tosca integration. These updates streamline processes, improve usability, bolster security, and enhance efficiency, empowering teams to manage projects more effectively.

5 AI trends shaping software testing in 2025

Thanks to AI, a few people might be starting the new year with bright, shiny smiles. The technology has exploded in popularity and augmented almost everything, including a toothbrush and app combo that uses AI to optimize your dental hygiene habits. Teeth brushers aren’t the only ones grinning due to the AI explosion. Enterprise leaders have been cheerful about the advantages AI can bring to their company’s testing efforts and the software development lifecycle (SDLC).