Patents by Inventor Chris LAFFRA

Chris LAFFRA 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: 12236234
    Abstract: A method, system, and computer-readable storage medium for providing actionable corrections to, and code refactoring of, executable code. The method comprising: utilizing input to generate a machine learning model that analyzes quantitative information and qualitative information of an execution of an application code; executing the application code within a runtime environment of the application code, either of which incorporates a trace; during the executing, utilizing the trace to collect, at least one metric and/or at least one event; during the executing, ascertaining, by the machine learning model, the quantitative information and the qualitative information, by analyzing the at least one metric and/or the at least one event; and determining, by the machine learning model, at least one correction to the application code and/or at least one refactoring of the application code, by analyzing the quantitative information and the qualitative information.
    Type: Grant
    Filed: February 21, 2023
    Date of Patent: February 25, 2025
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventor: Chris Laffra
  • Publication number: 20240281246
    Abstract: A method, system, and computer-readable storage medium for providing actionable corrections to, and code refactoring of, executable code. The method comprising: utilizing input to generate a machine learning model that analyzes quantitative information and qualitative information of an execution of an application code; executing the application code within a runtime environment of the application code, either of which incorporates a trace; during the executing, utilizing the trace to collect, at least one metric and/or at least one event; during the executing, ascertaining, by the machine learning model, the quantitative information and the qualitative information, by analyzing the at least one metric and/or the at least one event; and determining, by the machine learning model, at least one correction to the application code and/or at least one refactoring of the application code, by analyzing the quantitative information and the qualitative information.
    Type: Application
    Filed: February 21, 2023
    Publication date: August 22, 2024
    Applicant: JPMorgan Chase Bank, N.A.
    Inventor: Chris LAFFRA