Patents by Inventor Vidar V. Vikjord

Vidar V. Vikjord 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).

  • Machine learned decision guidance for alerts originating from monitoring systems
    Patent number: 11809304
    Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: November 7, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Vidar V. Vikjord, Jan-Ove Karlberg
  • Machine learned decision guidance for alerts originating from monitoring systems
    Patent number: 11740998
    Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: August 29, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Vidar V. Vikjord, Jan-Ove Karlberg
  • Machine Learned Decision Guidance for Alerts Originating from Monitoring Systems
    Publication number: 20200050532
    Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.
    Type: Application
    Filed: October 17, 2019
    Publication date: February 13, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Vidar V. Vikjord, Jan-Ove Karlberg
  • Machine learned decision guidance for alerts originating from monitoring systems
    Patent number: 10482000
    Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: November 19, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Vidar V. Vikjord, Jan-Ove Karlberg
  • Machine Learned Decision Guidance for Alerts Originating from Monitoring Systems
    Publication number: 20180307582
    Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Vidar V. Vikjord, Jan-Ove Karlberg