research-article

Calculating source line level energy information for Android applications

Authors:

William G. J. Halfond,

Ramesh GovindanAuthors Info & Claims

ISSTA 2013: Proceedings of the 2013 International Symposium on Software Testing and Analysis

Pages 78 - 89

https://doi.org/10.1145/2483760.2483780

Published: 15 July 2013 Publication History

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.

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Cited By

Groza CDumitru-Cristian AMarcu MBogdan R(2024)A Developer-Oriented Framework for Assessing Power Consumption in Mobile Applications: Android Energy Smells Case StudySensors10.3390/s2419646924:19(6469)Online publication date: 7-Oct-2024
https://doi.org/10.3390/s24196469
Dorronsoro BAragón-Jurado JJareño Jde la Torre JRuiz P(2024)A Survey on Automatic Source Code Transformation for Green Software GenerationEncyclopedia of Sustainable Technologies10.1016/B978-0-323-90386-8.00122-4(765-779)Online publication date: 2024
https://doi.org/10.1016/B978-0-323-90386-8.00122-4
Li XChen JLiu YWu KGallagher J(2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
https://dl.acm.org/doi/10.1145/3527851
Show More Cited By

Index Terms

Calculating source line level energy information for Android applications
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics

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cover image ACM Conferences

ISSTA 2013: Proceedings of the 2013 International Symposium on Software Testing and Analysis

July 2013

381 pages

ISBN:9781450321594

DOI:10.1145/2483760

General Chair:
Mauro Pezzè,
Program Chair:
Mark Harman

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 July 2013

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Overall Acceptance Rate 58 of 213 submissions, 27%

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Cited By

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https://doi.org/10.3390/s24196469
Dorronsoro BAragón-Jurado JJareño Jde la Torre JRuiz P(2024)A Survey on Automatic Source Code Transformation for Green Software GenerationEncyclopedia of Sustainable Technologies10.1016/B978-0-323-90386-8.00122-4(765-779)Online publication date: 2024
https://doi.org/10.1016/B978-0-323-90386-8.00122-4
Li XChen JLiu YWu KGallagher J(2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
https://dl.acm.org/doi/10.1145/3527851
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