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US Patent 10496935 System modernization using machine learning

Patent 10496935 was granted and assigned to Accenture on December, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Accenture
Accenture
Current Assignee
Accenture
Accenture
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10496935
Date of Patent
December 3, 2019
Patent Application Number
15149279
Date Filed
May 9, 2016
Patent Citations Received
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US Patent 11971804 Methods and systems for an intelligent technical debt helper bot
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US Patent 11940904 Generation of microservices from a monolithic application based on runtime traces
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US Patent 11960858 Performance based system configuration as preprocessing for system peformance simulation
0
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US Patent 11500628 Isolated code detection from application code analysis
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US Patent 11663115 Generation of microservices from a monolithic application based on runtime traces
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US Patent 11704118 Application modernization
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US Patent 11853753 Detection, presentation, and resolution of bottlenecks in monolith decomposition
0
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US Patent 11860980 Cognitive method to split monolithic architecture into microservice architecture
0
Patent Primary Examiner
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Kamran Afshar
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for system modernization using machine learning are disclosed. In one aspect, a method includes the actions of generating training data. The actions include generating a first model, a second model, and a third model. The actions include receiving data that is related to technological capabilities of an application and data that is related to business priorities of the application. The actions include applying the first model to the data that is related to the technological capabilities of the application and the second model to the data that is related to business priorities of the application. The actions include generating a modification recommendation for the application. The actions further include providing, for output, the modification recommendation for the application. The actions include receiving feedback data that indicates a level of acceptance of the modification recommendation for the application.

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