Characterizing and detecting resource leaks in Android applications
文献类型：会议论文
| 作者 | Guo, Chaorong (1) ; Zhang, Jian (1) ; Yan, Jun (2) ; Zhang, Zhiqiang (1) ; Zhang, Yanli (1) |
| 出版日期 | 2013 |
| 会议名称 | 2013 28th IEEE/ACM International Conference on Automated Software Engineering, ASE 2013 |
| 会议日期 | November 11, 2013 - November 15, 2013 |
| 会议地点 | Palo Alto, CA, United states |
| 关键词 | Android apps resource leak static analysis |
| 页码 | 389-398 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | CPCI ; EI |
| 会议录出版地 | IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States |
| 语种 | 英语 |
| ISSN号 | 1527-1366 |
| ISBN号 | 9781479902156 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16544]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Guo, Chaorong ,Zhang, Jian ,Yan, Jun ,et al. Characterizing and detecting resource leaks in Android applications[C]. 见:2013 28th IEEE/ACM International Conference on Automated Software Engineering, ASE 2013. Palo Alto, CA, United states. November 11, 2013 - November 15, 2013. |
入库方式： OAI收割
来源：软件研究所
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