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US Patent 11886850 Transformation templates to automate aspects of computer programming

Patent 11886850 was granted and assigned to Google on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118868500
Patent Inventor Names
Owen Lewis0
Bin Ni0
Date of Patent
January 30, 2024
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Patent Application Number
179034960
Date Filed
September 6, 2022
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Patent Citations
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US Patent 10095511 System, method, and computer program for converting a current Java project to a Maven project
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US Patent 7617449 Method and system for mapping content between a starting template and a target template
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US Patent 8788935 Systems and methods for creating or updating an application using website content
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US Patent 9317266 Leveraging legacy applications for use with modern applications
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US Patent 10019259 Code transformation using extensibility libraries
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US Patent 10776721 Accelerating configuration of machine-learning models
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Patent Primary Examiner
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Douglas M Slachta
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CPC Code
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G06N 3/04
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G06N 3/08
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G06F 8/71
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G06F 8/51
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Patent abstract

Implementations are described herein for building and/or applying a library of transformation templates to automate migration of source code. In various implementations, pre-migration and post-migration versions of source code that exist prior to and after migration of the source code may be analyzed. Based on the analysis, one or more transformations made to the pre-migration version of the source code to yield the post-migration version of the source code may be identified. A library of transformation templates that are applicable subsequently to automate migration of new source code may be built. In some implementations, for one or more of the transformations, a plurality of candidate transformation templates may be generated with different permutations of tokens being replaced with placeholders. One of the plurality of candidate transformation templates may be selected for inclusion in the library based on one or more criteria.

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