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Testing Agentic Applications: Why AI Needs a New Approach to Software Testing

in AI for Fusion Applications

Summary:

Traditional software testing relies on predictable results. Agentic applications introduce new challenges because their behavior can vary while still producing correct outcomes.

This new technical whitepaper introduces the Agentic Testing and Lifecycle Automation Suite (ATLAS) in Oracle AI Agent Studio.

Explore how scenario-based testing, replayable enterprise context, regression testing, semantic evaluation, and lifecycle automation help teams evaluate and improve their agentic applications.

Read the attached whitepaper to learn more.

Content (please ensure you mask any confidential information):

Version (include the version you are using, if applicable):

October 2026 | Version 1.0


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