Predictive Test Selection is a new approach to Test Impact Analysis using machine learning to dynamically select tests to run based on code change.
January 5, 2021
Two key problems in the testing space that machine learning definitely can solve today. The first is not enough tests, and the second is too many tests.
December 29, 2020
Many software projects can get 90% of the results, by shifting left 20% of the tests earlier in the software delivery lifecycle with Launchable.
December 22, 2020
Meet Launchable's Engineering team leader, Yoshiori Shoji, as he shares insights on building great culture, management, and leadership.
November 18, 2020
I recently wrote a new white paper on Delivering code faster with machine learning and test automation for Launchable that is now available for download.
October 13, 2020
Launchable Co-Founder, Kohsuke Kawaguchi discusses how his experiences and challenges in the DevOps industry lead to creating Launchable.
January 23, 2020
Seed funding will continue our mission of faster test cycle times through smarter predictive test selection.
November 5, 2019
