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Tricentis goes beyond traditional testing by incorporating AI into test impact analysis. When changes occur in an application, AI algorithms predict the potential impact on existing test suites. This foresight allows testing teams to update only the necessary test cases, reducing testing efforts without compromising quality.
Continuous application changes can lead to test script failures. Tricentis addresses this challenge with AI-driven self-healing capabilities. The platform intelligently identifies changes in the application and automatically adjusts test scripts accordingly, minimizing the manual effort required for maintenance.
Tricentis optimizes performance testing through AI-based insights. The platform analyzes application behavior under various conditions, identifies performance bottlenecks, and recommends optimizations. This ensures that applications not only meet functional requirements but also deliver optimal performance under diverse scenarios.
Tricentis introduces cognitive test design capabilities by leveraging AI. Testers can benefit from intelligent recommendations for test scenarios based on historical test data, user interactions, and application changes. This collaborative approach enhances test coverage and ensures that critical scenarios are thoroughly tested
Cloud ALM with AI optimizes continuous integration and deployment pipelines tailored for SAP environments. AI algorithms analyze SAP code repositories, identify patterns in SAP code changes, and recommend optimizations. This intelligent automation ensures that SAP releases are efficient, reliable, and aligned with overarching SAP project goals.