Enhance Volkswagen’s vehicle software integration and upgrade your digital customer experience by optimizing your delivery pipeline
Transform your vehicle software into a leading digital experience by improving the speed and quality of your releases. Automatically identify and prioritize the highest value tests in your codebase, so your developers are focused and happy.
How companies like Volkswagen are utilizing Launchable’s machine learning
In-place reduction of test suite runtimes
BMW
Pre-merge
Why BMW needed Launchable
BMW needed to optimize the workload on their inelastic environment that was blocking 100+ developers. Because they have limited hardware with which to run tests, each test suite run added days to waiting for feedback. BMW needed to save costs, since adding additional capacity required setting up additional hardware labs.
How we made an impact
By using Predictive Test Selection, BMW was able to reduce needless tests that would consume resources for days. Developers were no longer waiting for critical feedback on their Pull Requests, which enabled BMW to utilize their existing hardware more efficiently.
UKG
Post-merge
Why UKG needed Launchable
UKG needed their developers and development teams to iterate faster on new releases. They needed faster critical feedback to understand if their code was deployable. UKG needed to actually create more time to write more tests, but without slowing their pipeline down. Additionally, UKG needed to reduce cloud costs for test execution while running additional test suites.
How we made an impact
UKG was able to optimize their costs, and send feedback earlier to their developers. By using Predictive Test Selection, UKG reduced their 5 hour tests to run in only 30 minutes, an efficiency increase of 90%. Shorter test times means faster feedback, resulting in better developer experience.
Shift-left for earlier feedback
Delphix
Pre-merge
Why Delphix needed Launchable
Delphix was looking into reducing the cycle time for releases. They also wanted to reduce the time required by developers to integrate their changes.
How we made an impact
Delphix has brought Launchable pre-merge as part of their developers' workflow. Launchable provides fast feedback to developers, helping their developers iterate faster. They have been able to reduce cycle time by half. Over a short period, they have brought the Launchable approach to multiple teams and projects.
Increase Volkswagen’s delivery velocity while eliminating cloud costs
Increase your efficiency by 5x
Use data to predict which tests are most likely to uncover issues, allowing your team to focus on the most important tests. This saves time and resources by reducing the number of unnecessary or redundant tests.
Improve your coverage
Predictive Test Selection can help ensure that all areas of your software development lifecycle are adequately tested, improving the overall quality of Volkswagen’s software and infotainment systems.
Get faster feedback
By prioritizing the most important tests, your team gains visibility into the impact of code changes on the test suite so developers can make more informed decisions about when and how to refactor existing code.
Customers agree that Launchable helps increase efficiency
“Launchable's approach of faster & intelligently selecting test cases has reduced our regression cycles and enabled us to do faster product releases. It has also helped us in reducing AWS cost.”
Pravin B.
Engineering Manager
“Launchable provides fast and smart subsets of tests, which are run by our developers on every commit, as well as during nightly and release regressions, benefitting us by giving targeted testing, and saving money on resources.”
Roma M.
Engineering Manager
Hey there, Volkswagen!
I'm Harpreet, a co-founder here at Launchable. Let me show you how you can upgrade your digital customer experience by using machine learning.