Patents by Inventor Sheldon Busby

Sheldon Busby 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).

  • Creating test cases for testing software using anonymized log data
    Patent number: 11709764
    Abstract: A computer-implemented method, system and computer program product for generating test cases for testing software. Log files are analyzed for indications of software defects resulting in software errors. For those log files that were found to indicate software errors, such log files are analyzed to determine if they contain personal data that needs to be anonymized based on an entropy score of the personal data. When the entropy score of the personal data is below a threshold value, anonymized variations of the personal data are generated. Trace logs are then created containing the anonymized variations of the personal data, which are returned to a software tester to create a test case for testing software using the created trace logs without having access to personal data. In this manner, the software tester may reproduce the software errors without having access to the personal data.
    Type: Grant
    Filed: March 8, 2021
    Date of Patent: July 25, 2023
    Assignee: International Business Machines Corporation
    Inventors: Vagner Figueredo de Santana, Sheldon Busby, Gray Franklin Cannon, Marco Aurelio Stelmar Netto, Patrick Veedock
  • CREATING TEST CASES FOR TESTING SOFTWARE USING ANONYMIZED LOG DATA
    Publication number: 20220283930
    Abstract: A computer-implemented method, system and computer program product for generating test cases for testing software. Log files are analyzed for indications of software defects resulting in software errors. For those log files that were found to indicate software errors, such log files are analyzed to determine if they contain personal data that needs to be anonymized based on an entropy score of the personal data. When the entropy score of the personal data is below a threshold value, anonymized variations of the personal data are generated. Trace logs are then created containing the anonymized variations of the personal data, which are returned to a software tester to create a test case for testing software using the created trace logs without having access to personal data. In this manner, the software tester may reproduce the software errors without having access to the personal data.
    Type: Application
    Filed: March 8, 2021
    Publication date: September 8, 2022
    Inventors: Vagner Figueredo de Santana, Sheldon Busby, Gray Franklin Cannon, Marco Aurelio Stelmar Netto, Patrick Veedock