Patents by Inventor VIKAS PRADEEP KUMAR

VIKAS PRADEEP KUMAR 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).

  • Patent number: 10684851
    Abstract: Methods are provided for software build outcome prediction. For example, one method may comprise obtaining feature data associated with a software build, the feature data including one or more of the following: first data identifying a user to perform a modification on a set of one or more software artifacts, second data identifying the set of one or more software artifacts, and third data identifying a set of one or more reviewers to review the modification. The method may also comprise determining first probability data associated with the software build being unsuccessful given the feature data and second probability data associated with the software build being successful given the feature data; and predicting a software build outcome associated with the software build based on the first probability data and the second probability data.
    Type: Grant
    Filed: February 7, 2018
    Date of Patent: June 16, 2020
    Assignee: VMWARE, INC.
    Inventors: Badarinarayan Parthasarathi Burli, Vikas Pradeep Kumar, Vinay Kumar Amble Vasantha
  • Publication number: 20190138300
    Abstract: Methods are provided for software build outcome prediction. For example, one method may comprise obtaining feature data associated with a software build, the feature data including one or more of the following: first data identifying a user to perform a modification on a set of one or more software artifacts, second data identifying the set of one or more software artifacts, and third data identifying a set of one or more reviewers to review the modification. The method may also comprise determining first probability data associated with the software build being unsuccessful given the feature data and second probability data associated with the software build being successful given the feature data; and predicting a software build outcome associated with the software build based on the first probability data and the second probability data.
    Type: Application
    Filed: February 7, 2018
    Publication date: May 9, 2019
    Inventors: BADARINARAYAN PARTHASARATHI BURLI, VIKAS PRADEEP KUMAR, VINAY KUMAR AMBLE VASANTHA
  • Publication number: 20180374110
    Abstract: Techniques for cost-driven approach to determine inventory layout in cloud computing environments are disclosed. In one example, a system includes a processor, and a memory coupled to the processor. The memory includes a cost-driven inventory management module to receive a cost budget for provisioning infrastructure objects in a cloud computing environment provided by at least one cloud service prosier, determine an inventory layout including a plurality of combinations of different types of infrastructure objects that are supported by the at least one cloud service provider based on the cost budget, and recommend a subset of combinations from the plurality of combinations of different types of infrastructure objects based on predetermined criteria.
    Type: Application
    Filed: August 3, 2017
    Publication date: December 27, 2018
    Inventors: BADARINARAYAN PARTHASARATHI BURLI, VIKAS PRADEEP KUMAR, VINAY KUMAR AMBLE VASANTHA, PRAMOD CHICKABALLAPURA VASUDEVA MURTHY