Patents by Inventor Sibi Philip

Sibi Philip 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).

  • Forecasting a quality of a software release using machine learning
    Patent number: 11347629
    Abstract: In some examples, a server may retrieve and parse test results associated with testing a software package. The server may determine a weighted sum of a software feature index associated with a quality of the plurality of features, a defect index associated with the defects identified by the test cases, a test coverage index indicating a pass rate of the plurality of test cases, a release release reliability index associated with results of executing regression test cases included in the test cases, and an operational quality index associated with resources and an environment associated with the software package. The server may use a machine learning algorithm, such as a time series forecasting algorithm, to forecast a release status of the software package. The server may determine, based on the release status, whether the software package is to progress from a current phase to a next phase of a development cycle.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: May 31, 2022
    Assignee: Dell Products L.P.
    Inventors: Rohan Sharma, Sathish Kumar Bikumala, Sibi Philip, Kiran Kumar Gadamshetty
  • FORECASTING A QUALITY OF A SOFTWARE RELEASE USING MACHINE LEARNING
    Publication number: 20200133830
    Abstract: In some examples, a server may retrieve and parse test results associated with testing a software package. The server may determine a weighted sum of a software feature index associated with a quality of the plurality of features, a defect index associated with the defects identified by the test cases, a test coverage index indicating a pass rate of the plurality of test cases, a release release reliability index associated with results of executing regression test cases included in the test cases, and an operational quality index associated with resources and an environment associated with the software package. The server may use a machine learning algorithm, such as a time series forecasting algorithm, to forecast a release status of the software package. The server may determine, based on the release status, whether the software package is to progress from a current phase to a next phase of a development cycle.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Inventors: Rohan Sharma, Sathish Kumar Bikumala, Sibi Philip, Kiran Kumar Gadamshetty