The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 08, 2022

Filed:

May. 04, 2020
Applicant:

Microsoft Technology Licensing, Llc., Redmond, WA (US);

Inventors:

Shengyu Fu, Redmond, WA (US);

Xiaoyu Liu, Bothell, WA (US);

Neelakantan Sundaresan, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/41 (2018.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 8/447 (2013.01); G06K 9/6256 (2013.01); G06K 9/6297 (2013.01); G06N 20/00 (2019.01);
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 different classes 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 found in commonly-used programs from a sampled population. The machine learning model is implemented as a hash table contained a ranked order of hash values in descending order of probability of completing a partially-formed method invocation.


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Fu, Shengyu. (2022). Code completion with machine learning (U.S. Patent No. 11243750). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11243750

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