Patents by Inventor Abrar Desai

Abrar Desai 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: 10127038
    Abstract: A method, system and computer readable medium are provided for software defect reduction. To perform the software defect reduction implementation parameters for a software application in a development phase are collected, and an Extract, Transform and Load (ETL) is performed. The ETL analyzes data from one or more databases based on the implementation parameters to obtain relevant implementation data. The one or more databases store implementation data related to previously developed software applications, and the relevant implementation data is data stored in the one or more databases that is data that is relevant to the implementation parameters. The relevant implementation data is then summarized to obtain predicted data relevant to the software application in the development phase.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: November 13, 2018
    Assignee: Aetna Inc.
    Inventors: Sriram Ganesan, Kraig Dandan, Joseph P. Foley, Songdong Tian, John R. Sullivan, Abrar Desai
  • Publication number: 20180307481
    Abstract: A method, system and computer readable medium are provided for software defect reduction. To perform the software defect reduction implementation parameters for a software application in a development phase are collected, and an Extract, Transform and Load (ETL) is performed. The ETL analyzes data from one or more databases based on the implementation parameters to obtain relevant implementation data. The one or more databases store implementation data related to previously developed software applications, and the relevant implementation data is data stored in the one or more databases that is data that is relevant to the implementation parameters. The relevant implementation data is then summarized to obtain predicted data relevant to the software application in the development phase.
    Type: Application
    Filed: April 21, 2017
    Publication date: October 25, 2018
    Inventors: Sriram Ganesan, Kraig Dandan, Joseph P. Foley, Songdong Tian, John R. Sullivan, Abrar Desai