• DocumentCode
    660571
  • Title

    Characterizing and detecting resource leaks in Android applications

  • Author

    Chaorong Guo ; Jian Zhang ; Jun Yan ; Zhiqiang Zhang ; Yanli Zhang

  • Author_Institution
    State Key Lab. of Comput. Sci., Inst. of Software, Beijing, China
  • fYear
    2013
  • fDate
    11-15 Nov. 2013
  • Firstpage
    389
  • Lastpage
    398
  • 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.
  • Keywords
    Android (operating system); mobile computing; program diagnostics; resource allocation; Android applications; Relda tool; application resource operations; callbacks; camera component; event-driven mobile programming; function call graph; lightweight static analysis tool; media player component; resource leak problems; resource leaks characterization; resource leaks detection; sensor component; Androids; Cameras; Humanoid robots; Java; Media; Mobile communication; Smart phones; Android apps; resource leak; static analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering (ASE), 2013 IEEE/ACM 28th International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/ASE.2013.6693097
  • Filename
    6693097