Patent · US Active

Code completion with machine learning

US10671355B2 · kind B2 · utility

6Cited by

2References

16Claims

0Family size

Assignee

MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

Jorge Banuelos · Kirkland, US
SHENGYU FU · Redmond, US
Roshanak Zilouchian Moghaddam · Seattle, US
Neelakantan Sundaresan · Mountain View, US
Siyu Yang · Redmond, US
Ying Zhao · Tangshan City, CN

Key dates

Filing date	Mar 29, 2018
Grant date	Jun 2, 2020
Priority date	—
Expiry date	Mar 29, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A code completion tool uses machine learning models to more precisely predict the likelihood of a method invocation completing a code fragment that follows one or more method invocations of a same class in a same document during program development. In one aspect, the machine learning model is a n-order Markov chain model that is trained on features that represent characteristics of the context of method invocations of a class in commonly-used programs from a sampled population.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.