Patents by Inventor Narendra Prabhu Gurusiddappa

Narendra Prabhu Gurusiddappa 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).

  • Publication number: 20240211235
    Abstract: Techniques for software dependency management are described, including receiving a query at a repository configured to store a file identifying a dependency between an application and an update, the query being configured to request retrieval and implementation of the update with the application, parsing the query to identify the update and a version of the update configured to modify the application, generating a ranking associated with the update and the version using output from a machine-learning module configured to be trained against data associated with a community, and other data associated with analyzing an issue associated with the update or the version, providing a response to the query, receiving another query requesting the update or the version, retrieving the update and the version, and implementing the update or the version, the update or the version being implemented in response to the another query.
    Type: Application
    Filed: July 31, 2023
    Publication date: June 27, 2024
    Applicant: Khoros, LLC
    Inventors: Santosh Shaastry, Narendra Prabhu Gurusiddappa, Gunaalan Srinivasan, Neel Millind Renavikar
  • Patent number: 11714629
    Abstract: Techniques for software dependency management are described, including receiving a query at a repository configured to store a file identifying a dependency between an application and an update, the query being configured to request retrieval and implementation of the update with the application, parsing the query to identify the update and a version of the update configured to modify the application, generating a ranking associated with the update and the version using output from a machine-learning module configured to be trained against data associated with a community, and other data associated with analyzing an issue associated with the update or the version, providing a response to the query, receiving another query requesting the update or the version, retrieving the update and the version, and implementing the update or the version, the update or the version being implemented in response to the another query.
    Type: Grant
    Filed: November 19, 2020
    Date of Patent: August 1, 2023
    Assignee: Khoros, LLC
    Inventors: Santosh Shaastry, Narendra Prabhu Gurusiddappa, Gunaalan Srinivasan, Neel Millind Renavikar
  • Publication number: 20220156053
    Abstract: Techniques for software dependency management are described, including receiving a query at a repository configured to store a file identifying a dependency between an application and an update, the query being configured to request retrieval and implementation of the update with the application, parsing the query to identify the update and a version of the update configured to modify the application, generating a ranking associated with the update and the version using output from a machine-learning module configured to be trained against data associated with a community, and other data associated with analyzing an issue associated with the update or the version, providing a response to the query, receiving another query requesting the update or the version, retrieving the update and the version, and implementing the update or the version, the update or the version being implemented in response to the another query.
    Type: Application
    Filed: November 19, 2020
    Publication date: May 19, 2022
    Applicant: Khoros, LLC
    Inventors: Santosh Shaastry, Narendra Prabhu Gurusiddappa, Gunaalan Srinivasan, Neel Millind Renavikar