Launchable Blog | Engineering | Page 14

How to speed up your CI pipeline with machine learning to shift tests left and right based on your test suite.

April 10, 2021

For teams struggling with slow tests, Test Impact Analysis accelerates test cycles by running only the tests that matter for source code changes.

April 9, 2021

Parallel software testing splits test suites so that tests can execute simultaneously, generally in order to run large test suites faster.

March 17, 2021

Launchable introduces Cy Young, a tiny little library that we recently open-sourced for making it easier to throw exceptions in Java.

March 3, 2021

Test Impact Analysis determines the most important tests to run based on code changes, whereas Predictive Test Selection uses a machine learning model.

March 1, 2021

Launchable has made is simple to use Predictive Test Selection with Maven and Java for faster testing cycles.

February 17, 2021

Launchable uses a branch of test impact analysis known as Predictive Test Selection to create dynamic subsets of the most important tests for code changes.

February 8, 2021

Testing is a key control to get quality software in the hands of customers. Compare manual vs automated tests to see what methods are best for your team.

January 19, 2021

Join the Launchable Discord community! Have questions about our technology or want to critique something about our solution, we welcome your feedback.

January 14, 2021

The Launchable CLI is now available to beta program participants! Start using our machine learning model to speed up your test cycles today.

January 12, 2021

High performers are delivering software faster than ever. Uncover the top five trends teams are taking to accelerate DevOps and balance speed and quality.

January 8, 2021

Harpreet talks how Launchable’s test automation platform is proving that you can reduce test run time by up to 80% and get feedback on failures.

January 6, 2021