Patents by Inventor Schuyler Bruce Matthews

Schuyler Bruce Matthews 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: 20230039792
    Abstract: A method, computer system, and a computer program product for deep tagging a recorded review session is provided. The present invention may include identifying a recording segment referencing an artifact in a recorded review session. The present invention may also include generating a bi-directional link between the identified recording segment and the referenced artifact.
    Type: Application
    Filed: August 4, 2021
    Publication date: February 9, 2023
    Inventors: Manus Kevin McHugh, Schuyler Bruce Matthews, Lisa Seacat DeLuca, Sarika Budhiraja
  • Patent number: 11558213
    Abstract: A method, computer system, and a computer program product for deep tagging a recorded review session is provided. The present invention may include identifying a recording segment referencing an artifact in a recorded review session. The present invention may also include generating a bi-directional link between the identified recording segment and the referenced artifact.
    Type: Grant
    Filed: August 4, 2021
    Date of Patent: January 17, 2023
    Assignee: International Business Machines Corporation
    Inventors: Manus Kevin McHugh, Schuyler Bruce Matthews, Lisa Seacat DeLuca, Sarika Budhiraja
  • Patent number: 11514173
    Abstract: In an approach to predicting software security exploits by monitoring software events, sets of design events are received from a compliance monitor, where the sets of design events are captured by the compliance monitor during execution of a software application. A pattern of the sets of design events performed by the software application is detected, where the pattern is a specific sequence of the sets of design events. The pattern of the sets of design events performed by the software application is compared to a database of learned patterns using a deep learning model. A security exploit is predicted based on the comparison of the pattern of the sets of design events performed by the software application to the learned patterns.
    Type: Grant
    Filed: December 2, 2020
    Date of Patent: November 29, 2022
    Assignee: International Business Machines Corporation
    Inventors: Manus Kevin McHugh, Kirk M. Woods, Schuyler Bruce Matthews, Lee Thomas
  • Patent number: 11385891
    Abstract: One or more computer processors associate a source code repository with a video session, wherein the source code repository contains one or more source code issues. The one or more computer processors identify one or more source code issues within the video session. The one or more computer processors create a plurality of video session segments based on the one or more identified source code issues within the video session and the associated source code repository. The one or more computer processors tag the created plurality of video session segments with corresponding source code issue information.
    Type: Grant
    Filed: April 12, 2021
    Date of Patent: July 12, 2022
    Assignee: International Business Machines Corporation
    Inventors: Lisa Seacat DeLuca, Schuyler Bruce Matthews, Sarika Budhiraja
  • Publication number: 20220171906
    Abstract: A method, computer system, and a computer program product for environment mapping is provided. The present invention may include generating a digital twin, wherein the digital twin is a digital representation of a smart building. The present invention may include applying the digital twin to a second building. The present invention may include providing an implementation assessment, wherein the implementation assessment includes at least the environmental impact of preferences of a user in the second building.
    Type: Application
    Filed: December 2, 2020
    Publication date: June 2, 2022
    Inventors: Tiberiu Suto, Nadiya Kochura, Schuyler Bruce Matthews, Hemant Kumar Sivaswamy, Prakalathan Nirmalakumaran
  • Publication number: 20220171857
    Abstract: In an approach to predicting software security exploits by monitoring software events, sets of design events are received from a compliance monitor, where the sets of design events are captured by the compliance monitor during execution of a software application. A pattern of the sets of design events performed by the software application is detected, where the pattern is a specific sequence of the sets of design events. The pattern of the sets of design events performed by the software application is compared to a database of learned patterns using a deep learning model. A security exploit is predicted based on the comparison of the pattern of the sets of design events performed by the software application to the learned patterns.
    Type: Application
    Filed: December 2, 2020
    Publication date: June 2, 2022
    Inventors: Manus Kevin McHugh, KIRK M. WOODS, Schuyler Bruce Matthews, Lee Thomas
  • Publication number: 20220147413
    Abstract: In an approach to monitoring production software to detect design deviations, one or more actionable elements of a software design are received, where the one or more actionable elements are one or more allowable actions of the software design. One or more actions performed by one or more instances of an instrumented software application are monitored, where the one or more instances of an instrumented software application are based on the software design. The one or more actions are compared to the one or more actionable elements. A non-compliant behavior is detected, where the non-compliant behavior is a sequence of the one or more actions performed by any instance of the one or more instances of the instrumented software application that deviates from the one or more actionable elements.
    Type: Application
    Filed: November 9, 2020
    Publication date: May 12, 2022
    Inventors: Manus Kevin McHugh, KIRK M. WOODS, Schuyler Bruce Matthews, Jeremy R. Fox
  • Publication number: 20220099534
    Abstract: Aspects of the present invention disclose a method, computer program product, and system for generating test case requirements for testing an asset at a location using actual upcoming weather information. The method includes one or more processors receiving a set of usage parameters for an asset. The method further includes one or more processors a location from the received set of usage parameters. The method further includes one or more processors determining weather information that is associated with the identified location. The method further includes one or more processors generating a test case for the asset that includes one or more testing variables that test data in the determined weather information that is associated with the identified location.
    Type: Application
    Filed: September 29, 2020
    Publication date: March 31, 2022
    Inventors: Lisa Seacat DeLuca, Schuyler Bruce Matthews
  • Patent number: 11262277
    Abstract: Aspects of the present invention disclose a method, computer program product, and system for generating scheduling information for performing test cases for an asset at a location based on weather information. The method includes one or more processors receiving a set of parameters for an asset. The set of parameters including a test case set for the asset and an indication of a testing location for the asset. The method further includes one or more processors determining weather information associated with the indicated testing location. The method further includes one or more processors identifying a test case in the test case set that includes a weather variable that corresponds to weather present in the determined weather information of the indicated testing location. The method further includes one or more processors scheduling execution of the identified test case, at the indicated testing location, based on the determined weather information.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: March 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: Lisa Seacat DeLuca, Schuyler Bruce Matthews