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US Patent 11340873 Code change graph node matching with machine learning

Patent 11340873 was granted and assigned to X (company) on May, 2022 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
X (company)
X (company)
0
Current Assignee
X (company)
X (company)
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113408730
Patent Inventor Names
Qianyu Zhang0
Catalina Codruta Cangea0
Date of Patent
May 24, 2022
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Patent Application Number
169469820
Date Filed
July 14, 2020
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Patent Citations
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US Patent 10866885 Programmatically generating software test libraries for functional safety
0
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US Patent 10871950 Persistent annotation of syntax graphs for code optimization
Patent Primary Examiner
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Jae U Jeon
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CPC Code
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G06N 20/00
0

Implementations are described herein for training and using machine learning to determine mappings between matching nodes of graphs representing predecessor source code snippets and graphs representing successor source code snippets. In various implementations, first and second graphs may be obtained, wherein the first graph represents a predecessor source code snippet and the second graph represents a successor source code snippet. The first graph and the second graph may be applied as inputs across a trained machine learning model to generate node similarity measures between individual nodes of the first graph and nodes of the second graph. Based on the node similarity measures, a mapping may be determined across the first and second graphs between pairs of matching nodes.

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