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:
May. 16, 2023

Filed:

Oct. 30, 2020
Applicant:

Fujitsu Limited, Kawasaki, JP;

Inventors:

Mehdi Bahrami, San Jose, CA (US);

Manisha Mukherjee, San Jose, CA (US);

Wei-Peng Chen, Fremont, CA (US);

Assignee:

FUJITSU LIMITED, Kawasaki, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 40/226 (2020.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06F 8/70 (2018.01); G06F 8/30 (2018.01); G06F 16/332 (2019.01); G06F 11/36 (2006.01);
U.S. Cl.
CPC ...
G06F 16/3347 (2019.01); G06F 8/30 (2013.01); G06F 8/70 (2013.01); G06F 11/3664 (2013.01); G06F 11/3684 (2013.01); G06F 16/3329 (2019.01); G06F 16/3332 (2019.01); G06F 16/3344 (2019.01); G06F 40/226 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

A method may include obtaining training code and extracting features from the training code. The extracted features of the training code may be mapped to natural language code vectors by a deep neural network. A natural language search query requesting source-code suggestions may be received, and the natural language search query may be mapped to a natural language search vector by the deep neural network. The method may include mapping the natural language search query to the natural language search vector in the same or a similar method as mapping the extracted features of the training code to natural language code vectors, and the natural language search vector may be compared to the natural language code vectors. Source code responsive to the natural language search query may be suggested based on the comparison between the natural language search vector and the natural language code vectors.


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