Training and/or using machine learning model(s) for automatic generation of test case(s) for source code
US11899566B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 12, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Oct 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Training and/or utilization of machine learning model(s) (e.g., neural network model(s)) in automatically generating test case(s) for source code. Techniques disclosed herein can be utilized in generating test case(s) for unit test testing (or other white-box testing) and/or for functional testing (or other black-box testing). In some implementations, the machine learning model(s) can be trained on source code, unit test pairs. In some additional or alternative implementations, reinforcement learning techniques can be utilized to check for correctness of base source code, target source code pairs (e.g., by matching program execution of different branches).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.