Learning framework for software-hardware model generation and verification
US10970449B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2017 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Apr 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2117/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Generating an abstract model of the behavior of a hardware and/or software design. A learning framework learns an unknown regular language that represents the behaviors of the hardware and/or software logic which do not violate a specified property that the abstract model is required to satisfy. The framework receives input data including the specified property, concrete models of the behavior of the hardware and/or software; and an alphabet of all symbols that are allowed to occur in any string that can be defined in the unknown regular language, each symbol representing an event in the hardware and/or software. The framework generates an abstract model of the behavior of the hardware or software design by checking whether a sequence of events in a concrete model satisfies the specified property and outputs the generated abstract model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.