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PETrA: a software-based tool for estimating the energy profile of Android applications

Authors:

Dario Di Nucci,

Annibale Panichella,

Andrea De LuciaAuthors Info & Claims

ICSE-C '17: Proceedings of the 39th International Conference on Software Engineering Companion

Pages 3 - 6

https://doi.org/10.1109/ICSE-C.2017.18

Published: 20 May 2017 Publication History

Abstract

Energy efficiency is a vital characteristic of any mobile application, and indeed is becoming an important factor for user satisfaction. For this reason, in recent years several approaches and tools for measuring the energy consumption of mobile devices have been proposed. Hardware-based solutions are highly precise, but at the same time they require costly hardware toolkits. Model-based techniques require a possibly difficult calibration of the parameters needed to correctly create a model on a specific hardware device. Finally, software-based solutions are easier to use, but they are possibly less precise than hardware-based solution. In this demo, we present PETrA, a novel software-based tool for measuring the energy consumption of Android apps. With respect to other tools, PETrA is compatible with all the smartphones with Android 5.0 or higher, not requiring any device specific energy profile. We also provide evidence that our tool is able to perform similarly to hardware-based solutions.

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Cited By

Moseler ODiehl S(2023)The CodeSparks Framework – Augmenting Source Code with Glyph-based VisualizationsScience of Computer Programming10.1016/j.scico.2023.102998230:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.scico.2023.102998
Wu ZChen XLee S(2023)A systematic literature review on Android-specific smellsJournal of Systems and Software10.1016/j.jss.2023.111677201:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111677
Rua RSaraiva J(2023)A large-scale empirical study on mobile performance: energy, run-time and memoryEmpirical Software Engineering10.1007/s10664-023-10391-y29:1Online publication date: 27-Dec-2023
https://dl.acm.org/doi/10.1007/s10664-023-10391-y
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Information & Contributors

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Published In

cover image ACM Conferences

ICSE-C '17: Proceedings of the 39th International Conference on Software Engineering Companion

May 2017

558 pages

ISBN:9781538615898

General Chair:
Sebastian Uchitel
University of Buenos Aires, Argentina and Imperial College London, UK
,
Program Chairs:
Alessandro Orso
Georgia Institute of Technology
,
Martin Robillard
McGill University, Canada

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS: Computer Society
SADIO: SADIO

Publisher

IEEE Press

Publication History

Published: 20 May 2017

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ICSE '17

Sponsor:

SIGSOFT
IEEE-CS
SADIO

ICSE '17: 39th International Conference on Software Engineering

May 20 - 28, 2017

Buenos Aires, Argentina

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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April 26 - May 3, 2025

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Citations

Cited By

Moseler ODiehl S(2023)The CodeSparks Framework – Augmenting Source Code with Glyph-based VisualizationsScience of Computer Programming10.1016/j.scico.2023.102998230:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.scico.2023.102998
Wu ZChen XLee S(2023)A systematic literature review on Android-specific smellsJournal of Systems and Software10.1016/j.jss.2023.111677201:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111677
Rua RSaraiva J(2023)A large-scale empirical study on mobile performance: energy, run-time and memoryEmpirical Software Engineering10.1007/s10664-023-10391-y29:1Online publication date: 27-Dec-2023
https://dl.acm.org/doi/10.1007/s10664-023-10391-y
Rua RSaraiva J(2022)E-MANAFA: Energy Monitoring and ANAlysis tool For AndroidProceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering10.1145/3551349.3561342(1-4)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3551349.3561342
Rua RFraga TCouto MSaraiva JLo DMariani LMesbah A(2020)Greenspecting Android virtual keyboardsProceedings of the IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems10.1145/3387905.3388600(98-108)Online publication date: 13-Jul-2020
https://dl.acm.org/doi/10.1145/3387905.3388600
Cruz LAbreu RSarma AMurta L(2019)EMaaSProceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results10.1109/ICSE-NIER.2019.00034(101-104)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/ICSE-NIER.2019.00034
Kaur AKaur K(2019)Investigation on test effort estimation of mobile applicationsInformation and Software Technology10.1016/j.infsof.2019.02.003110:C(56-77)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1016/j.infsof.2019.02.003
Djedidi ODjeziri MM'Sirdi NNaamane ABoukerche AKanhere SBellavista P(2018)Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and SmartphonesProceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3242102.3242139(79-82)Online publication date: 25-Oct-2018
https://dl.acm.org/doi/10.1145/3242102.3242139
Linares-Vásquez MBavota GBernal-Cárdenas CPenta MOliveto RPoshyvanyk D(2018)Multi-Objective Optimization of Energy Consumption of GUIs in Android AppsACM Transactions on Software Engineering and Methodology10.1145/324174227:3(1-47)Online publication date: 25-Sep-2018
https://dl.acm.org/doi/10.1145/3241742
Moran KBernal-Cárdenas CLinares-Vásquez MPoshyvanyk DKhomh FRoy CSiegmund J(2018)Overcoming language dichotomiesProceedings of the 26th Conference on Program Comprehension10.1145/3196321.3196322(7-18)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196321.3196322

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