Patents by Inventor Atul B. SUBHASH

Atul B. SUBHASH 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).

  • Machine learning techniques for automated software testing configuration management
    Patent number: 11954019
    Abstract: Various embodiments are directed to performing automated software testing configuration management operations. In one embodiment, a method is provided. The method includes generating a graph data structure including nodes representing test steps across test cases of a software testing data object for a software application platform and including segments each connecting two nodes and representing test cases having the two represented test steps. The method further includes receiving a query describing a testing change and generating extracted features from the query. The method further includes generating test outcome requirements and graph portions of the graph data structure relevant to the testing change using supervised machine learning models and the extracted features.
    Type: Grant
    Filed: February 4, 2022
    Date of Patent: April 9, 2024
    Assignee: Optum, Inc.
    Inventors: Pawan Sharma, Atul B. Subhash, Kumar Shailendra
  • MACHINE LEARNING TECHNIQUES FOR AUTOMATED SOFTWARE TESTING CONFIGURATION MANAGEMENT
    Publication number: 20230251960
    Abstract: Various embodiments are directed to performing automated software testing configuration management operations. In one embodiment, a method is provided. The method includes generating a graph data structure including nodes representing test steps across test cases of a software testing data object for a software application platform and including segments each connecting two nodes and representing test cases having the two represented test steps. The method further includes receiving a query describing a testing change and generating extracted features from the query. The method further includes generating test outcome requirements and graph portions of the graph data structure relevant to the testing change using supervised machine learning models and the extracted features.
    Type: Application
    Filed: February 4, 2022
    Publication date: August 10, 2023
    Inventors: Pawan SHARMA, Atul B. SUBHASH, Kumar SHAILENDRA