-
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.
-
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.
-