AUTOMATED CODE VERIFICATION AND MACHINE LEARNING IN SOFTWARE DEFINED NETWORKS

Patent №

US 10,409,705

Granted

2019-09-10

Filed 2017

Owner

ALCATEL-LUCENT USA INC.

+1 more

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15499528

A processor is configured to execute an event-driven program along a plurality of execution paths. Each of the plurality of execution paths is determined by randomly chosen outcomes at non-deterministic points along the plurality of execution paths. A memory is configured to store values of properties of the event-driven code in response to executing the event-driven program along the plurality of execution paths. The processor is also configured to infer normal ranges of the properties of the event-driven program based on the values stored in the memory.

Machine learningKnowledge representationPlanningAI hardwareG06N 20/00G06F 8/00G06F 9/44589G06F 11/076G06F 11/3608G06F 11/3616G06F 11/3692G06N 5/04+6 more

AI classification

Planning1.00
AI hardware1.00
Machine learning0.94
Knowledge representation0.91
Vision0.01
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

ALCATEL-LUCENT USA INC.

assignment · 452990234

NOKIA OF AMERICA CORPORATION

merger · 453730765

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