US Patent 12072792 Software testing using machine learning

The system can identify data stored in repositories that indicate changes in the version of the application relative to a prior version of the application tested or deployed before receipt of the request to test the performance of the version of the application. The system can determine, based on the data and using machine learning with historical data associated with applications tested or deployed to test performance of the version, and without execution of the tests, a score for each of a plurality of tests configured to test performance of the version of the application. The system can select, based on the scores, a subset of the tests to execute, and provide an indication of the selected subset of the tests to cause execution of the subset of the tests to evaluate performance of the version of the application prior to deployment of the version of the application.