Machine learning technique to diagnose software crashes
US12045124B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2021 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Oct 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/83
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a crash signature and a crash configuration. The crash signature is generated in response to a software crash in a software application caused by the crash configuration. The method also includes applying a first machine learning model to determine a reference of a plurality of references that is closest to the crash signature and the crash configuration. The reference includes a reference crash signature and a reference configuration. The reference crash signature and the reference configuration are generated by a proxy crash to the software crash. The proxy crash was generated prior to the software crash by executing a modified test case against the software application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.