Android App Performance Detection Framework Based on Dynamic Analysis of Function Call Graphs

Jianing Zhang, Xueli Wang, Yunfang Chen
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引用次数: 2

Abstract

With the increasing market share of the Android platform, Android application marketplace is becoming highly competitive. User's experience plays a critical role in the popularity of an app. The slow running and more resource consumption in Android apps will make the user experience poor. Thus analysis and evaluation of the performance of Android apps are very important. In this paper, we propose an app performance detection framework based on dynamic analysis of function call graphs. We can measure some core indicators of an app with obtaining logs and drawing dynamic call graphs. In the experiment, we opened a URL with various browser APKs as an example to show the effect of our method.
基于函数调用图动态分析的Android应用性能检测框架
随着Android平台市场份额的不断增加,Android应用市场的竞争日趋激烈。用户体验对应用的受欢迎程度起着至关重要的作用。Android应用运行速度慢,资源消耗大,用户体验很差。因此,分析和评估Android应用程序的性能是非常重要的。本文提出了一种基于函数调用图动态分析的应用程序性能检测框架。我们可以通过获取日志和绘制动态调用图来衡量应用程序的一些核心指标。在实验中,我们用不同的浏览器apk打开了一个URL作为例子来展示我们的方法的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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