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| Content Provider | ACM Digital Library |
|---|---|
| Author | Li, Ding Govindan, Ramesh Halfond, William G. J. Hao, Shuai |
| Abstract | The popularity of mobile apps continues to grow as developers take advantage of the sensors and data available on mobile devices. However, the increased functionality comes with a higher energy cost, which can cause a problem for users on battery constrained mobile devices. To improve the energy consumption of mobile apps, developers need detailed information about the energy consumption of their applications. Existing techniques have drawbacks that limit their usefulness or provide information at too high of a level of granularity, such as components or methods. Our approach is able to calculate source line level energy consumption information. It does this by combining hardware-based power measurements with program analysis and statistical modeling. Our empirical evaluation of the approach shows that it is fast and accurate. . |
| Starting Page | 78 |
| Ending Page | 89 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450321594 |
| DOI | 10.1145/2483760.2483780 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-07-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Android app Energy measurement Source line level |
| Content Type | Text |
| Resource Type | Article |
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