Nvidia patents AI tools that write tests for code changes
Nvidia describes a system that uses neural networks to look at a list of code changes and figure out what effects those changes should have. The system then finds or creates test cases to check if the software actually behaves as expected.
In the filing’s own words
Apparatuses, systems, and methods for automated test generation using one or more neural networks. In at least one embodiment, neural network(s) are used to identify one or more effects to be produced by one or more code modifications to one or more codebases based, at least in part, on at least one change list identifying the code modification(s). Information (e.g., test cases and/or test code) is identified, which may be used to test whether the codebase(s) produce the effect(s).
What exactly they claim (claim 1)
1. One or more processors comprising processing circuitry to: use one or more first neural networks to identify one or more effects to be produced by one or more code modifications to one or more codebases based, at least in part, on at least one change list identifying the one or more code modifications; and identify information to test whether the one or more codebases produce the one or more effects.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- TESTING MODIFICATIONS TO A CODEBASE USING NEURAL NETWORKS
- Publication number
- US20260267780A1
- Application number
- 19072267
- Filed
- Mar 6, 2025
- Published
- Sep 10, 2026
- Inventors
- 7
- Claims
- 20
Classified under
G06F 11/3688 Physics & computingMore from Nvidia 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.