Predictive Test Selection
An AI Co-pilot that correlates code-changes to tests to find failures up to 80% faster
Used by elite engineering teams
Your team drowns in a firehose of test failures before every release
We help them find calm amidst the chaos and ship with confidence.
Run
Optimize tests to run
Filter
Filter away noise
Analyze
Analyze the problem
Aware
Raise awareness
Track
Track the fix
SOC2 certified
It takes about one hour of a developer's time to set up Launchable
- Four lines of changes in a CI Script
- No developer support needed after setup
- SOC 2 certified to keep your data safe
Predictive Test Selection: Correlate code changes to tests
A ML approach to radically improve test execution times & find failures.
- Launchable learns your test suite to create a ML model (~2 weeks)
- Your team chooses the best confidence for the test suite based on data from the ML model
- Launchable predicts tests that will fail based on code changes based on the confidence target chosen.
- Run tests up to 80% faster
- Run an infrequent defensive full test run to catch any remaining issues.
- Run an infrequent defensive full test run to catch any remaining issues.
Learn more about Predictive Test Selection
Time Savings
Every time you run only a subset of your test suite using Predictive Test Selection, you save time.
A flexible approach that enables a number of use cases
Smarter, Stress-Free Software Testing Using Machine Learning and AI
February 10, 2022
What is Test Impact Analysis?
April 9, 2021
What is Predictive Test Selection?
January 5, 2021
Predictive Test Selection fits into your existing development pipeline
Unlock the ability to run a much smaller set of tests at various points in your software development lifecycle. With Launchable, tell your test runner exactly which tests to run based on the changes being tested:
Works with your existing tools, languages, and processes
Results in weeks—no months-long DevOps transformations
Launchable's ML-based approach means it can work with existing languages and tools. Developers start seeing their dev cycles go faster without changing their processes.