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REMOTE TESTING ANALYSIS FOR SOFTWARE OPTIMIZATION BASED ON CLIENT-SIDE LOCAL DIFFERENTIAL PRIVACY-BASED DATA

机译:基于客户端本地差分隐私数据的软件优化远程测试分析

摘要

Methods, systems, apparatuses, and computer-readable storage medium are described herein for remotely analyzing testing results based on LDP-based data obtained from client devices in order to determine an effect of a software application with respect to its features and/or the population in which the application is tested. The analysis is based on a series of statistical computations for conducting hypothesis tests to compare population means, while ensuring LDP for each user. For example, an LDP scheme is used on the client-side that privatizes a measured value corresponding to a usage of a resource of the client. A data collector receives the privatized data from two sets of populations. Each population's clients have a software application that may differ in terms of features or user group. The privatized data received from each population is analyzed to determine an effect of the difference between the software applications of the different populations.
机译:本文描述了用于基于从客户端设备获得的基于LDP的数据来远程分析测试结果的方法,系统,装置和计算机可读存储介质,以便确定软件应用程序对其功能和/或总体的影响在其中测试应用程序。该分析基于一系列统计计算,用于进行假设检验以比较总体均值,同时确保每个用户的LDP。例如,在客户端侧使用LDP方案,该方案私有化与客户端的资源的使用相对应的测量值。数据收集器从两组人口中接收私有化数据。每个人群的客户都有一个软件应用程序,该软件应用程序可能在功能或用户群方面有所不同。分析从每个群体接收的私有化数据,以确定不同群体的软件应用程序之间差异的影响。

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