Patents by Inventor Sonu MEHTA

Sonu MEHTA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Pattern base configuration verifier
    Patent number: 11977606
    Abstract: A computer implemented method includes obtaining multiple configuration files that include configuration commit histories, detecting patterns in parameter values in the configuration files to generate file-based rules for configuration parameters, detecting patterns in parameter values in the configuration files to generate history-based rules using commit histories for the configuration parameters, and exposing the rules to calling programs.
    Type: Grant
    Filed: August 31, 2021
    Date of Patent: May 7, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ranjita Bhagwan, Sonu Mehta, Arjun Radhakrishna, Sahil Garg
  • PATTERN BASE CONFIGURATION VERIFIER
    Publication number: 20230267178
    Abstract: A computer implemented method includes obtaining multiple configuration files that include configuration commit histories, detecting patterns in parameter values in the configuration files to generate file-based rules for configuration parameters, detecting patterns in parameter values in the configuration files to generate history-based rules using commit histories for the configuration parameters, and exposing the rules to calling programs.
    Type: Application
    Filed: August 31, 2021
    Publication date: August 24, 2023
    Inventors: Ranjita Bhagwan, Sonu MEHTA, Arjun RADHAKRISHNA, Sahil GARG
  • Detecting misconfiguration and/or bug(s) in large service(s) using correlated change analysis
    Patent number: 11599354
    Abstract: Described herein is a system and method for detecting correlated changes (e.g., between code files and configuration files). For a plurality of code files and a plurality of configuration files, a correlated change model is trained to identify correlated changes across the code files and the configuration files using a machine learning algorithm that discovers change rules using a support parameter, and, a confidence parameter, and, a refinement algorithm that refines the discovered change rules. The correlated change model comprising the change rules is stored. The correlated change model can be used to identify potential issue(s) regarding a particular file (e.g., changed code or configuration file(s)). Information regarding the identified potential issue(s) can be provided to a user.
    Type: Grant
    Filed: July 18, 2019
    Date of Patent: March 7, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ranjita Bhagwan, Chandra Sekhar Maddila, Aditya Kumar, Sumit Asthana, Rahul Kumar, Sonu Mehta, Chetan Bansal, Balasubramanyan Ashok, Christian Alma Bird
  • Detecting Misconfiguration and/or Bug(s) in Large Service(s) Using Correlated Change Analysis
    Publication number: 20210019142
    Abstract: Described herein is a system and method for detecting correlated changes (e.g., between code files and configuration files). For a plurality of code files and a plurality of configuration files, a correlated change model is trained to identify correlated changes across the code files and the configuration files using a machine learning algorithm that discovers change rules using a support parameter, and, a confidence parameter, and, a refinement algorithm that refines the discovered change rules. The correlated change model comprising the change rules is stored. The correlated change model can be used to identify potential issue(s) regarding a particular file (e.g., changed code or configuration file(s)). Information regarding the identified potential issue(s) can be provided to a user.
    Type: Application
    Filed: July 18, 2019
    Publication date: January 21, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ranjita BHAGWAN, Chandra Sekhar MADDILA, Aditya KUMAR, Sumit ASTHANA, Rahul KUMAR, Sonu MEHTA, Chetan BANSAL, Balasubramanyan ASHOK, Christian Alma BIRD