Patents by Inventor Rajitha Challa

Rajitha Challa 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).

  • Smart test case generator
    Patent number: 11580012
    Abstract: Embodiments provide systems, methods, and computer-readable storage media for automated and objective testing of applications or processes. Graphical representations of the application may be analyzed to derive attribute data and identify flows (e.g., possible processing paths that may be accessed during utilization of the application by a user). Test cases may be automatically generated based on the attribute data and the identified flows. Additionally, testing scripts for testing the portions of the application corresponding to each identified flow may be generated using machine learning logic. Once generated, the testing scripts may be executed against the application to test different portions of the application functionality (or processes). Execution of the testing scripts may be monitored to generate feedback used to train the machine learning logic. Reports may be generated based on the monitoring and provided to users to enable the users to resolve any errors encountered during the testing.
    Type: Grant
    Filed: July 7, 2020
    Date of Patent: February 14, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Rajitha Challa, Ravi Chandra Babu Sivakala, Bheeshan Kumar Reddy Vallela, Neeraj Puri, Aditya Yellapantula, Naresh Reddy Yempalla, Aditya Akella, Ajay G. Gupta
  • SMART TEST CASE GENERATOR
    Publication number: 20220012168
    Abstract: Embodiments provide systems, methods, and computer-readable storage media for automated and objective testing of applications or processes. Graphical representations of the application may be analyzed to derive attribute data and identify flows (e.g., possible processing paths that may be accessed during utilization of the application by a user). Test cases may be automatically generated based on the attribute data and the identified flows. Additionally, testing scripts for testing the portions of the application corresponding to each identified flow may be generated using machine learning logic. Once generated, the testing scripts may be executed against the application to test different portions of the application functionality (or processes). Execution of the testing scripts may be monitored to generate feedback used to train the machine learning logic. Reports may be generated based on the monitoring and provided to users to enable the users to resolve any errors encountered during the testing.
    Type: Application
    Filed: July 7, 2020
    Publication date: January 13, 2022
    Inventors: Rajitha Challa, Ravi Chandra Babu Sivakala, Bheeshan Kumar Reddy Vallela, Neeraj Puri, Aditya Yellapantula, Naresh Reddy Yempalla, Aditya Akella, Ajay Gupta