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US Patent 11886320 Diagnosing application problems by learning from fault injections

Patent 11886320 was granted and assigned to NetApp on January, 2024 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
NetApp
NetApp
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Date Filed
June 19, 2020
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Date of Patent
January 30, 2024
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Patent Applicant
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NEUROPS INC.
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Patent Application Number
16906768
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Patent Citations
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US Patent 11341410 Subsurface stress criticality associated with fluid injection and determined using machine learning
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US Patent 10891219 Code failure prediction system
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US Patent 8706451 Method and apparatus for generating a model for an electronic prognostics system
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US Patent 10338993 Analysis of failures in combinatorial test suite
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US Patent 10423514 Automated classification of mobile app battery consumption using simulation
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US Patent 10684940 Microservice failure modeling and testing
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US Patent 10719301 Development environment for machine learning media models
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Patent Inventor Names
David Lee
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Pradeep Padala
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Xiaoyun Zhu
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Nathaniel Morris
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
11886320
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Patent Primary Examiner
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Andrew M. Lyons
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