Patents by Inventor Andrew Homeyer

Andrew Homeyer 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: 10311405
    Abstract: Provided is a process, including: obtaining a plurality of software-issue reports; obtaining a pull request; forming a software-issue graph having a plurality of nodes corresponding to the software-issue reports and a plurality of edges indicating relationships between the software-issue reports; determining that the pull request addresses a given software-issue report; selecting a subset of nodes in the software-issue graph addressed by the pull request; and designating the pull request as being associated with the plurality of software-issue reports corresponding to the selected subset of nodes.
    Type: Grant
    Filed: July 20, 2017
    Date of Patent: June 4, 2019
    Assignee: CA, Inc.
    Inventors: Jacob Burton, Andrew Homeyer, Kelli Hackethal, Megan Espeland, Mary Davis
  • Publication number: 20190026106
    Abstract: Provided is a process of inferring which software-issue reports are addressed by a code-change submission, the process including: obtaining a plurality of software-issue reports; obtaining a current code-change submitted to a repository of source code of a software application; selecting a subset of the software-issue reports by inferring which of the software-issue reports describe an issue addressed by the current code-change; and storing in memory an association between the subset of the software-issue reports and the current code-change.
    Type: Application
    Filed: July 20, 2017
    Publication date: January 24, 2019
    Inventors: Jacob Burton, Andrew Homeyer, Kelli Hackethal, Megan Espeland, Mary Davis, Dennis Johnson
  • Publication number: 20190026634
    Abstract: Provided is a process, including: obtaining a workflow execution log; training a first supervised machine learning model to infer roles of users in the workflows based on the workflow execution log; obtaining a given instance of a given workflow; inferring, with the first supervised machine learning model, at least one role of at least one user in the given instance of the given workflow; and causing at least part of the given instance of the given workflow to be presented to the at least one user in a user interface.
    Type: Application
    Filed: July 20, 2017
    Publication date: January 24, 2019
    Inventors: Andrew Homeyer, Kelli Hackethal, Megan Espeland, Mary Davis, Jacob Burton
  • Publication number: 20190026697
    Abstract: Provided is a process, including: obtaining a plurality of software-issue reports; obtaining a pull request; forming a software-issue graph having a plurality of nodes corresponding to the software-issue reports and a plurality of edges indicating relationships between the software-issue reports; determining that the pull request addresses a given software-issue report; selecting a subset of nodes in the software-issue graph addressed by the pull request; and designating the pull request as being associated with the plurality of software-issue reports corresponding to the selected subset of nodes.
    Type: Application
    Filed: July 20, 2017
    Publication date: January 24, 2019
    Inventors: Jacob Burton, Andrew Homeyer, Kelli Hackethal, Megan Espeland, Mary Davis
  • Publication number: 20190026663
    Abstract: Provided is a process of estimating time to address software-issue reports describing software bugs or feature requests in software project management computer systems based on historical performance in addressing previous software-issue reports, the process including: obtaining the workflow instance records; constructing a time-estimation model based on correlation between features of the workflow instance records and durations of time before or during execution of some or all of respective workflow instances; obtaining a workflow instance that is not completed; estimating a duration of time for the task with the time-estimation model.
    Type: Application
    Filed: July 20, 2017
    Publication date: January 24, 2019
    Inventors: Andrew Homeyer, Kelli Hackethal, Megan Espeland, Mary Davis, Jacob Burton