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Lightweight energy consumption analysis and prediction for Android applications

  • Published:2018-09 Issue: Volume:162 Page:132-147
  • ISSN:0167-6423
  • Container-title:Science of Computer Programming
  • language:en
  • Short-container-title:Science of Computer Programming

Author:

Hu Yan,Yan Jiwei,Yan Dong,Lu Qiong,Yan Jun

Funder

National Natural Science Foundation of China

National Key Basic Research (973) Program of China

Publisher

Elsevier BV

Subject

Software

Reference28 articles.

1. Android on mobile devices: an energy perspective;Paul,2010

2. An analysis of power consumption in a smartphone;Carroll,2010

3. Detecting energy bugs and hotspots in mobile apps;Banerjee,2014

4. Calculating source line level energy information for Android applications;Li,2013

5. Energy consumption of the sensors of smartphones;König,2013

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1. A systematic review on techniques and approaches to estimate mobile software energy consumption;Sustainable Computing: Informatics and Systems;2024-01

2. A large-scale empirical study on mobile performance: energy, run-time and memory;Empirical Software Engineering;2023-12-27

3. PyAnaDroid: A fully-customizable execution pipeline for benchmarking Android Applications;2023 IEEE International Conference on Software Maintenance and Evolution (ICSME);2023-10-01

4. JavaScript Dead Code Identification, Elimination, and Empirical Assessment;IEEE Transactions on Software Engineering;2023-07

5. Comparing the Energy Efficiency of WebAssembly and JavaScript in Web Applications on Android Mobile Devices;The International Conference on Evaluation and Assessment in Software Engineering 2022;2022-06-13
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