Detect and optimize the energy consumption of mobile app through static analysis: an initial research

  • Authors:
  • Jingtian Wang;Guoquan wu;Xiaoquan Wu;Jun Wei

  • Affiliations:
  • Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences and Graduate University of Chinese Academy of Sciences;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences and Graduate University of Chinese Academy of Sciences;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences

  • Venue:
  • Proceedings of the Fourth Asia-Pacific Symposium on Internetware
  • Year:
  • 2012

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Abstract

Although the market for smartphones is growing rapidly, their utility remains severely limited by the battery life. As such, much research effort has been made to understand the power consumption of the application running on mobile devices. However, dynamic profiling tools need to run on the customized android platform, making them not suitable for ordinary mobile app developers. To address this limitation, this paper proposed a light-weight approach to find possible I/O energy wasting code in Android apps through static program analysis technique. We also provide a case study to evaluate the effectiveness of our approach.