Inferring intra package and module dependencies
US11385889B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 4, 2019 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Dec 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/21
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Herein are machine learning (ML) feature processing and analytic techniques to detect anomalies in parse trees of logic statements, database queries, logic scripts, compilation units of general-purpose programing language, extensible markup language (XML), JAVASCRIPT object notation (JSON), and document object models (DOM). In an embodiment, a computer identifies an operational trace that contains multiple parse trees. Values of explicit features are generated from a single respective parse tree of the multiple parse trees of the operational trace. Values of implicit features are generated from more than one respective parse tree of the multiple parse trees of the operational trace. The explicit and implicit features are stored into a same feature vector. With the feature vector as input, an ML model detects whether or not the operational trace is anomalous, based on the explicit features of each parse tree of the operational trace and the implicit features of multiple parse trees of the operational trace.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.