Optimizing Test Execution with Machine Learning
Many software teams struggle to deliver software quickly. DevOps transformation initiatives take too long to speed up delivery. Developers are left waiting hours or days to get critical feedback on their changes, lengthening cycle times. To solve this, unicorn teams have brought machine learning and test automation together to intelligently subset tests and reduce test feedback delay, but the technology hasn’t been available to everyone.
In this paper we look at,
- Delivering code faster by adding machine learning to your existing test automation
- Reducing feedback delays by running the most relevant tests earlier
- Reducing risk by getting earlier feedback on changes