Invention Grant
- Patent Title: Automated code verification and machine learning in software defined networks
-
Application No.: US15499528Application Date: 2017-04-27
-
Publication No.: US10409705B2Publication Date: 2019-09-10
- Inventor: Lalita J. Jagadeesan , Veena B. Mendiratta
- Applicant: Lalita J. Jagadeesan , Veena B. Mendiratta
- Applicant Address: US NJ Murray Hill
- Assignee: Nokia of America Corporation
- Current Assignee: Nokia of America Corporation
- Current Assignee Address: US NJ Murray Hill
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/36 ; G06N5/04 ; G06N20/00 ; G06F8/00 ; G06F9/445 ; H04L12/701 ; H04L12/703 ; H04L12/24 ; G06F8/75

Abstract:
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.
Public/Granted literature
- US20180314619A1 AUTOMATED CODE VERIFICATION AND MACHINE LEARNING IN SOFTWARE DEFINED NETWORKS Public/Granted day:2018-11-01
Information query