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US Patent 10983761 Deep learning enhanced code completion system

Patent 10983761 was granted and assigned to Microsoft on April, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Microsoft
Microsoft
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Current Assignee
Microsoft
Microsoft
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
109837610
Patent Inventor Names
Ying Zhao0
Shengyu Fu0
Alexey Svyatkovskiy0
Neelakantan Sundaresan0
Date of Patent
April 20, 2021
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Patent Application Number
163777890
Date Filed
April 8, 2019
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Patent Citations
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US Patent 10671355 Code completion with machine learning
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US Patent 10268671 Generating parse trees of text segments using neural networks
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US Patent 10318882 Optimized training of linear machine learning models
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US Patent 10423410 Source code rules verification method and system
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US Patent 10481879 Code development using continued machine learnings
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US Patent 10754645 Displaying results of a codebase analysis service
Patent Citations Received
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US Patent 12014155 Constrained prefix matching for generating next token predictions
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US Patent 11656851 Long-range modeling of source code files by syntax hierarchy
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US Patent 11321054 System and method for automated software engineering
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US Patent 11874763 Unsupervised integration test builder
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US Patent 11968732 Mixed standard accessory device communication utilizing host-coordinated transmission
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US Patent 12010613 Accessory device communication utilizing multiple personalities
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US Patent 12008347 Matching graphs generated from source code
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Patent Primary Examiner
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Francisco J Aponte
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Patent abstract

A code completion tool uses a deep learning model to predict the likelihood of a method completing a method invocation. In one aspect, the deep learning model is a LSTM trained on features that represent the syntactic context of a method invocation derived from an abstract tree representation of the code fragment.

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