Patents by Inventor Michael C. Cales

Michael C. Cales 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: 10929217
    Abstract: In one example, a system includes an electronic processor configured to receive telemetry data originating from a plurality of client applications. The telemetry data includes data points associated with errors associated with one or more operations. The electronic processor also classifies the telemetry data based a plurality of classes of data, converts the plurality of classes of data into one or more metrics based on a plurality of dimensions, and aggregates the metrics for the classes of data by all the dimensions. The electronic processor accesses a predictive scoring model for a stored metric associated with a dimension of interest, determines a prediction error associated with the dimension of interest, detects an anomaly based on an item selected from the group consisting of the prediction error and a static threshold, and transmits an alert message, generates a bug report, and stores the bug report in a database.
    Type: Grant
    Filed: March 22, 2018
    Date of Patent: February 23, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Muskan Kukreja, Fnu Vijay Krishnan, Uma Shankar V. Stanam, Michael C. Cales, Sandipan Ganguly
  • Publication number: 20190294485
    Abstract: In one example, a system includes an electronic processor configured to receive telemetry data originating from a plurality of client applications. The telemetry data includes data points associated with errors associated with one or more operations. The electronic processor also classifies the telemetry data based a plurality of classes of data, converts the plurality of classes of data into one or more metrics based on a plurality of dimensions, and aggregates the metrics for the classes of data by all the dimensions. The electronic processor accesses a predictive scoring model for a stored metric associated with a dimension of interest, determines a prediction error associated with the dimension of interest, detects an anomaly based on an item selected from the group consisting of the prediction error and a static threshold, and transmits an alert message, generates a bug report, and stores the bug report in a database.
    Type: Application
    Filed: March 22, 2018
    Publication date: September 26, 2019
    Inventors: Muskan KUKREJA, FNU VIJAY KRISHNAN, Uma Shankar V. STANAM, Michael C. CALES, Sandipan GANGULY
  • Patent number: 6489980
    Abstract: A method and apparatus is disclosed for sharing and maintaining objects over the World Wide Web using an HTML compliant client running a web browser. An upload interface is displayed on the client computer for entry of upload information corresponding to an object stored on the client computer. In response to an upload request, the object is uploaded over the Internet to a server computer and stored on the server computer. A display of the server computer includes a representation of uploaded objects and is updated automatically after every upload. The display can be viewed on the client computer or any other client computer with access to the Internet through a web browser. Objects can be selected from the display and downloaded to a client computer over the Internet. Access to the objects can be limited through password protection or other methods.
    Type: Grant
    Filed: December 29, 1998
    Date of Patent: December 3, 2002
    Assignee: NCR Corporation
    Inventors: Edward D. Scott, Michael C. Cales