Microsoft patents method to pick better hardware and software tests
Microsoft describes a system that uses machine learning to choose which specific hardware and software combinations to test. It analyzes data from previous test batches to identify which setups are most common or risky, then selects a smaller, more targeted group of tests to run next.
In the filing’s own words
Examples of the present disclosure describe systems and methods for selecting test combinations of hardware and software features for product validation. In examples, a test scheduler of a system receives metrics associated with a first batch of test combinations for multiple computing entities. The metrics may include data associated with a fleet prevalence and a fleet risk determined for the multiple computing entities. The scheduler provides one or more of the metrics to a machine learning algorithm. The test scheduler determines a second batch of test combinations associated with a subset of the multiple computing entities based on an output of the machine learning algorithm. The second batch of combinations may include a subset of the first batch of test combinations. The system executes the second batch of test combinations for the subset of the multiple computing entities.
What exactly they claim (claim 1)
1.- 20. (canceled)
Facts
- Company
- Microsoft (Microsoft Technology Licensing, LLC)
- Official title
- SYSTEMS AND METHODS FOR SELECTING TEST COMBINATIONS OF HARDWARE AND SOFTWARE FEATURES FOR FEATURE VALIDATION
- Publication number
- US20260319931A1
- Application number
- 19568068
- Filed
- Mar 16, 2026
- Published
- Oct 15, 2026
- Inventors
- 5
- Claims
- 21
Classified under
G06F 11/3688 Physics & computingMore from Microsoft in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.