| 摘要 |
Systems and methods for evaluating device quality are disclosed. Some implementations include receiving, operational parameters for a mobile device, where the operational parameters include data related to service disturbances in a plurality of areas of operational performance of the mobile device, computing, for each dimension of a plurality of dimensions, a curve indicative of a relationship between a device quality index (DQI) and operational parameters of the mobile device, where each dimension corresponds to a particular area of operational performance of the mobile device, identifying cliff points in each dimension of a multi-dimensional surface fitted to each computed curve, where each cliff point corresponds to a reduction in a user's quality of experience in a particular area of operational performance, and projecting the identified cliff points in each dimension of the multi-dimensional surface to determine a horizontal space in the multi-dimensional surface corresponding to a region of acceptable DQIs. |
| 主权项 |
1. A method comprising:
receiving, at an analytics engine, one or more operational parameters for a mobile device, wherein the operational parameters include data related to service disturbances in a plurality of areas of operational performance of the mobile device; computing, at the analytics engine, for each dimension of a plurality of dimensions, a curve indicative of a relationship between a device quality index (DQI) of the mobile device for a particular dimension and operational parameters of the mobile device for the particular dimension, wherein each dimension of the plurality of dimensions corresponds to a particular area of operational performance of the mobile device; identifying, at the analytics engine, cliff points in each dimension of a multi-dimensional surface fitted to each computed curve, wherein each cliff point corresponds to a reduction in a user's quality of experience in a particular area of operational performance represented by a corresponding dimension, the reduction associated with the service disturbances; projecting, at the analytics engine, the identified cliff points in each dimension of the multi-dimensional surface to determine a horizontal space in the multi-dimensional surface corresponding to a region of acceptable DQIs; and generating, based on the projecting, a device quality evaluation report for the plurality of areas of operational performance of the mobile device. |
