南方科技大学知识苑(SUSTech KC): Characterizing and Detecting Inefficient Image Displaying Issues in Android Apps

题名	Characterizing and Detecting Inefficient Image Displaying Issues in Android Apps
作者	Li, Wenjie 1; Jiang, Yanyan 1; Xu, Chang 1; Liu, Yepang2 ; Ma, Xiaoxing 1; Lu, Jian 1
通讯作者	Jiang, Yanyan; Xu, Chang
DOI	10.1109/SANER.2019.8668030
发表日期	2019
ISSN	1534-5351
ISBN	978-1-7281-0592-5
会议录名称	2019 IEEE 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING (SANER)
页码	355-365
会议日期	24-27 Feb. 2019
会议地点	Hangzhou, China
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
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 presents an empirical study of 162 real-world IID issues collected from 243 popular open-source Android apps, validating the presence and severity of IID issues, and then sheds light on these issues' characteristics to support future research on effective issue detection. Based on the findings of this study, we developed a static IID issue detection tool TAPIR and evaluated it with real-world Android apps. The experimental evaluations show encouraging results: TAPIR detected 43 previously-unknown IID issues in the latest version of the 243 apps, 16 of which have been confirmed by respective developers and 13 have been fixed.
关键词	Android app inefficient image displaying performance empirical study static analysis
学校署名	其他
语种	英语
相关链接	[来源记录]
收录类别	CPCI-S ; EI
资助项目	Program for University Key Laboratory of Guangdong Province[2017KSYS008]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:000469754100035
EI入藏号	20191606775361
EI主题词	Open source software ; Reengineering ; Static analysis
EI分类号	Computer Software, Data Handling and Applications:723 ; Computer Applications:723.5 ; Quality Assurance and Control:913.3
来源库	Web of Science
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8668030
引用统计	被引频次[WOS]：19
成果类型	会议论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/24528
专题	工学院_计算机科学与工程系
作者单位	1.Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China 2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen Key Lab Computat Intelligence, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Li, Wenjie,Jiang, Yanyan,Xu, Chang,et al. Characterizing and Detecting Inefficient Image Displaying Issues in Android Apps[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2019:355-365.