The document discusses using data analytics to speed up regression testing cycles. It notes that as codebases grow, regression test suites also grow and can take hours to run, slowing integration frequency. Data analytics involves tracking test code coverage and changes to determine which tests are impacted by changes and prioritize regression testing to reduce the number of tests needed and speed up feedback. This helps improve release quality and facilitate efficient sprint planning.
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