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Test Splitting Recommendations

What’s New

The test splitting recommendation feature uses machine learning to estimate the expected time savings of enabling parallelism on test jobs. Recommendations are provided on the tests tab of Insights to help you get an understanding of the impact of test splitting before enabling it.

Refer to our documentation to read more about test splitting and parallelism.

Previous changes

Release 3.4.3    


Release 4.0.1