Patents by Inventor Elaine Weyuker

Elaine Weyuker 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).

  • Tool for predicting fault-prone software files
    Patent number: 8151146
    Abstract: A method, apparatus, and computer-readable medium for predicting the fault-proneness of code units (files, modules, packages, and the like) of large-scale, long-lived software systems. The method collects information about the code units and the development process from previous releases, and formats this information for input to an analysis stage. The tool then performs a statistical regression analysis on the collected data, and formulates a model to predict fault counts for code units of the current and future releases. Finally, the method computes an expected fault count for each code unit in the current release by applying the formulated model to data from the current release. The expected fault counts are used to rank the release units in descending order of fault-proneness so that debugging efforts and resources can be optimized.
    Type: Grant
    Filed: June 11, 2008
    Date of Patent: April 3, 2012
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Thomas Ostrand, Robert Bell, Andrew Gauld, Elaine Weyuker
  • TOOL FOR PREDICTING FAULT-PRONE SOFTWARE FILES
    Publication number: 20090313605
    Abstract: A method, apparatus, and computer-readable medium for predicting the fault-proneness of code units (files, modules, packages, and the like) of large-scale, long-lived software systems. The method collects information about the code units and the development process from previous releases, and formats this information for input to an analysis stage. The tool then performs a statistical regression analysis on the collected data, and formulates a model to predict fault counts for code units of the current and future releases. Finally, the method computes an expected fault count for each code unit in the current release by applying the formulated model to data from the current release. The expected fault counts are used to rank the release units in descending order of fault-proneness so that debugging efforts and resources can be optimized.
    Type: Application
    Filed: June 11, 2008
    Publication date: December 17, 2009
    Applicant: AT&T LABS, INC.
    Inventors: Thomas Ostrand, Robert Bell, Andrew Gauld, Elaine Weyuker