Window deviation analyzer
    1.
    发明授权

    公开(公告)号:US10157116B2

    公开(公告)日:2018-12-18

    申请号:US15361565

    申请日:2016-11-28

    Applicant: Google Inc.

    Inventor: Anthony Vallone

    Abstract: A method includes receiving samples of data over a time range from a start time to an end time, determining a mean/median of the data samples within a historic time window, and determining a mean/median of the data samples within a recent time window. The method also includes determining a data sample delta based on a difference between the mean/median of the data samples within the recent time window and the mean/median of the data samples within the historic time window. The method also includes determining whether the data sample delta exceeds a delta tolerance, and when the data sample delta exceeds the delta tolerance, determining a regression in performance. The method also includes transmitting a regression alert to a user device. The user device is configured to notify a user associated with the user device of the regression in performance.

    Window Deviation Analyzer
    2.
    发明申请

    公开(公告)号:US20180150373A1

    公开(公告)日:2018-05-31

    申请号:US15361565

    申请日:2016-11-28

    Applicant: Google Inc.

    Inventor: Anthony Vallone

    CPC classification number: G06F11/3409 G06F9/44505 G06F11/3024 G06F11/3612

    Abstract: A method includes receiving samples of data over a time range from a start time to an end time, determining a mean/median of the data samples within a historic time window, and determining a mean/median of the data samples within a recent time window. The method also includes determining a data sample delta based on a difference between the mean/median of the data samples within the recent time window and the mean/median of the data samples within the historic time window. The method also includes determining whether the data sample delta exceeds a delta tolerance, and when the data sample delta exceeds the delta tolerance, determining a regression in performance. The method also includes transmitting a regression alert to a user device. The user device is configured to notify a user associated with the user device of the regression in performance.

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