Pre-built Oracle test cases can accelerate automation adoption in the short term. But they don’t eliminate the harder problem: long-term maintenance in environments shaped by continuous SaaS updates, Redwood UI adoption, and expanding integrations. Here’s why resilient, model-based automation matters more than the size of a test library, and the questions Oracle teams should ask when evaluating a platform.
Oracle Fusion quarterly updates arrive every three months, and the two-week testing window that follows has long meant a scramble. Agentic AI, self-healing tests, and context-aware agents are giving QA teams a new way to absorb Oracle’s pace of change — without the chaos.
Oracle AI World Tour highlights agentic AI, OCI infrastructure, modern data platforms, and workflow automation—introducing new testing challenges around trust, reliability, and cross-system impact.
At Oracle AI World, UL Solutions and Emerson shared how they streamlined Oracle testing with Tricentis Tosca and NeoLoad. One reduced weekly testing time by 75%, and the other optimized 17,000 test cases across global deployments—delivering faster, more reliable releases.
The rapidly changing AI landscape was on display at Oracle’s AI World. Learn how Tricentis helps customers manage risks that come with it.
Tricentis enabled teams to modernize Oracle testing, cut testing time from 8 weeks to 14 days, and achieve 372% ROI in 3 years.
Discover how public sector teams automate Oracle testing to reduce risk, save time, and accelerate delivery without sacrificing compliance.
Oracle Cloud’s 25B release is coming in late April. Prepare your test plan to ensure new features don’t impact customizations or integrations.
As organizations increasingly rely on Oracle technologies for their critical business operations, ensuring the reliability and performance of these systems is paramount
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.
