Machine learning-based determination of program code characteristics
US10917415B2 · kind B2 · utility
4Cited by
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20Claims
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Key dates
| Filing date | Jan 10, 2018 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Mar 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A technique includes processing a plurality of sets of program code to extract call graphs; determining similarities between the call graphs; applying unsupervised machine learning to an input formed from the determined similarities to determine latent features of the input; clustering the determined latent features; and determining a characteristic of a given program code set of the plurality of program code sets based on a result of the clustering.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.