Getting Started
Last updated
Last updated
Test Optimization significantly slashes testing timelines by 50% to 90% and reduces resource expenses by up to 70%, enhancing both automated and manual testing.
Using the Test Impact Analysis (TIA) tool, it intelligently cherry-picks essential tests linked to code changes across various test types, employing machine learning and AI for precise coverage without compromising quality.
This functionality is adaptable, seamlessly functioning within:
Pull requests
Nightly test stages
Extensive test cycles, including manual tests
On-demand test runs