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| Characterizing and detecting resource leaks in Android applications | |
| Guo, Chaorong (1); Zhang, Jian (1); Yan, Jun (2); Zhang, Zhiqiang (1); Zhang, Yanli (1) | |
| 2013 | |
| Conference Name | 2013 28th IEEE/ACM International Conference on Automated Software Engineering, ASE 2013 |
| Pages | 389-398 |
| Conference Date | November 11, 2013 - November 15, 2013 |
| Conference Place | Palo Alto, CA, United states |
| Indexed Type | CPCI ; EI |
| Publish Place | IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States |
| ISSN | 1527-1366 |
| ISBN | 9781479902156 |
| Department | (1) State Key Laboratory of Computer Science Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Technology Center of Software Engineering Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) University of Chinese Academy of Sciences, Beijing, China |
| English Abstract | Android phones come with a host of hardware components embedded in them, such as Camera, Media Player and Sensor. Most of these components are exclusive resources or resources consuming more memory/energy than general. And they should be explicitly released by developers. Missing release operations of these resources might cause serious problems such as performance degradation or system crash. These kinds of defects are called resource leaks. This paper focuses on resource leak problems in Android apps, and presents our lightweight static analysis tool called Relda, which can automatically analyze an application's resource operations and locate the resource leaks. We propose an automatic method for detecting resource leaks based on a modified Function Call Graph, which handles the features of event-driven mobile programming by analyzing the callbacks defined in Android framework. Our experimental data shows that Relda is effective in detecting resource leaks in real Android apps. © 2013 IEEE.; Android phones come with a host of hardware components embedded in them, such as Camera, Media Player and Sensor. Most of these components are exclusive resources or resources consuming more memory/energy than general. And they should be explicitly released by developers. Missing release operations of these resources might cause serious problems such as performance degradation or system crash. These kinds of defects are called resource leaks. This paper focuses on resource leak problems in Android apps, and presents our lightweight static analysis tool called Relda, which can automatically analyze an application's resource operations and locate the resource leaks. We propose an automatic method for detecting resource leaks based on a modified Function Call Graph, which handles the features of event-driven mobile programming by analyzing the callbacks defined in Android framework. Our experimental data shows that Relda is effective in detecting resource leaks in real Android apps. © 2013 IEEE. |
| Keyword | Android Apps Resource Leak Static Analysis |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16544 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Guo, Chaorong ,Zhang, Jian ,Yan, Jun ,et al. Characterizing and detecting resource leaks in Android applications[C]. IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States,2013:389-398. |
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