Understanding and Detecting Inefficient Image Displaying Issues in Android Apps  

作　　者：李文杰 马骏 蒋炎岩 许畅 马晓星 Wen-Jie Li;Jun Ma;Yan-Yan Jiang;Chang Xu;Xiao-Xing Ma(Senior Member,CCF,Member,ACM 1.State Key Laboratory of Novel Software Technology,Nanjing University,Nanjing 210023,China;Department of Computer Science and Technology,Nanjing University,Nanjing 210023,China)

机构地区：[1]State Key Laboratory of Novel Software Technology,Nanjing University,Nanjing 210023,China [2]Department of Computer Science and Technology,Nanjing University,Nanjing 210023,China

出　　处：《Journal of Computer Science & Technology》2024年第2期434-459,共26页计算机科学技术学报（英文版）

基　　金：supported by the Leading-Edge Technology Program of Jiangsu Natural Science Foundation of China under Grant No.BK20202001;the National Natural Science Foundation of China under Grant No.61932021.

摘　　要：Mobile applications(apps for short)often need to display images.However,inefficient image displaying(IID)issues are pervasive in mobile apps,and can severely impact app performance and user experience.This paper first establishes a descriptive framework for the image displaying procedures of IID issues.Based on the descriptive framework,we conduct an empirical study of 216 real-world IID issues collected from 243 popular open-source Android apps to validate the presence and severity of IID issues,and then shed light on these issues’characteristics to support research on effective issue detection.With the findings of this study,we propose a static IID issue detection tool TAPIR and evaluate it with 243 real-world Android apps.Encouragingly,49 and 64 previously-unknown IID issues in two different versions of 16 apps reported by TAPIR are manually confirmed as true positives,respectively,and 16 previously-unknown IID issues reported by TAPIR have been confirmed by developers and 13 have been fixed.Then,we further evaluate the performance impact of these detected IID issues and the performance improvement if they are fixed.The results demonstrate that the IID issues detected by TAPIR indeed cause significant performance degradation,which further show the effectiveness and efficiency of TAPIR.

关 键 词：Android application(app) inefficient image displaying(IID) performance empirical study static analysis 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]