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:
Nov. 19, 2019

Filed:

Mar. 30, 2018
Applicant:

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

Inventors:

Joshua Bates Stevens, Issaquah, WA (US);

John S. Tilford, Seattle, WA (US);

Guillermo Serrato Castilla, Seattle, WA (US);

Srivatsn Narayanan, Bothell, WA (US);

Simon Calvert, Sammamish, WA (US);

Mark Alistair Wilson-Thomas, Mercer Island, WA (US);

Deborah Chen, Seattle, WA (US);

Miltiadis Allamanis, Cambridge, GB;

Marc Manuel Johannes Brockschmidt, Cambridge, GB;

Kesavan Shanmugam, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 8/35 (2018.01); G06F 8/75 (2018.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 8/35 (2013.01); G06F 8/75 (2013.01); G06N 20/00 (2019.01);
Abstract

Improving how a codebase, which may include source code, related databases, test files, code history, and/or changes, is drafted, edited, debugged, or otherwise developed. Machine learning is performed on a model codebase to establish a machine learning model. When a change to a codebase occurs, the machine learning model may be applied to evaluate that change. A change context providing context for this change is accessed. An analyzer then analyzes the change using the machine learning model and at least a part of the change context to generate an analysis result. Some information about the result is rendered. After rendering that information, a determination regarding how a user responded to the information is performed, and a subsequent analysis is then modified based on the user's response.


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