Patents by Inventor Steven Novack

Steven Novack 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).

  • Publication number: 20220222168
    Abstract: Systems, computer program products, and methods are described herein for generating a state instance map for automated regression testing. The present invention is configured to initiate a regression testing engine on a second version of an application; determine one or more states of the second version of the application; capture one or more screenshots of the one or more user interfaces of the second version of the application; map the one or more screenshots of the one or more user interfaces with the one or more states; generate one or more nodes based on at least the mapping; generate one or more edges based on at least the action-based navigation; and generate a second state instance map based on at least the one or more nodes and the one or more edges.
    Type: Application
    Filed: January 13, 2021
    Publication date: July 14, 2022
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Srinivas Dundigalla, Pavan Chayanam, Steven Novack, Jaimish Patel
  • Publication number: 20220222549
    Abstract: Systems, computer program products, and methods are described herein for automated regression testing. The present invention is configured to generate, using a regression testing engine, a second state instance map for a second version of an application; generate, using the regression testing engine, a first state instance map for a first version of the application; initiate a differential detection engine on the first state instance map and the second state instance map; determine, using the differential detection engine, one or more differential features in the second version of the application; initiate a machine learning model on the one or more differential features in the second version of the application; and classify, using the machine learning model, the one or more differential features into one or more classes.
    Type: Application
    Filed: January 13, 2021
    Publication date: July 14, 2022
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Srinivas Dundigalla, Pavan Chayanam, Steven Novack, Jaimish Patel
  • Publication number: 20030171907
    Abstract: The methods and apparatus of the present invention are directed to optimizing configurable processors to assist a designer in efficiently matching a design of an application and a design of a processor. In one aspect, methods and apparatus according to the present invention optimize a hardware architecture having one or more application specific processors. The methods and apparatus include modeling one or more of the application specific processors to generate a simulated hardware architecture and analyzing a compiled program for the simulated hardware architecture to determine one or more resource parameters for one or more program sections of the compiled program. The methods and apparatus provide one or more suggestions for modifying one or more of the application specific processors and the program sections in response to the resource parameter to optimize one or both of the compiled program and the hardware architecture.
    Type: Application
    Filed: March 4, 2003
    Publication date: September 11, 2003
    Inventors: Shay Gal-On, Steven Novack