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Measuring the energy footprint of mobile testing frameworks

Authors:

Luis Cruz,

Rui AbreuAuthors Info & Claims

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

Pages 400 - 401

https://doi.org/10.1145/3183440.3195027

Published: 27 May 2018 Publication History

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Abstract

This paper evaluates eight popular mobile UI automation frameworks. We have discovered that there are automation frameworks that increase energy consumption up to 7500%. While limited in the interactions one can do, Espresso is the most energy efficient framework. Depending on the needs of the tester, Appium, Monkeyrunner, or UIAutomator are good alternatives. We show the importance of using energy efficient frameworks and provide a decision tree to help developers make an educated decision on which framework suits best their testing needs.

References

[1]

Luis Cruz and Rui Abreu. 2017. Performance-based Guidelines for Energy Efficient Mobile Applications. In IEEE/ACM International Conference on Mobile Software Engineering and Systems, MobileSoft 2017. 46--57.

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Mario Linares-Vásquez, Kevin Moran, and Denys Poshyvanyk. 2017. Continuous, evolutionary and large-scale: A new perspective for automated mobile app testing. In Software Maintenance and Evolution (ICSME), 2017 IEEE International Conference on. IEEE, 399--410.

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Candy Pang, Abram Hindle, Bram Adams, and Ahmed E Hassan. 2016. What do programmers know about software energy consumption? IEEE Software 33, 3 (2016), 83--89.

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Cited By

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Rua RSaraiva J(2023)PyAnaDroid: A fully-customizable execution pipeline for benchmarking Android Applications2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME58846.2023.00077(586-591)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICSME58846.2023.00077
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
Dorfer TDemetz LHuber S(2020)Impact of mobile cross-platform development on CPU, memory and battery of mobile devices when using common mobile app featuresProcedia Computer Science10.1016/j.procs.2020.07.029175(189-196)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.07.029
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Index Terms

Measuring the energy footprint of mobile testing frameworks
1. General and reference
  1. Cross-computing tools and techniques
    1. Empirical studies
2. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Software performance

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Published In

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

May 2018

231 pages

ISBN:9781450356633

DOI:10.1145/3183440

Conference Chair:
Michel Chaudron
Chalmers University of Technology, University of Gothenburg, Sweden
,
General Chair:
Ivica Crnkovic
Chalmers University of Technology, University of Gothenburg, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Mark Harman
Facebook and University College London, United Kingdom

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 27 May 2018

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National Funds through FCT - Fundacao para a Ciencia e a Tecnologia
ERDF - European Regional Development Fund

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ICSE '18: 40th International Conference on Software Engineering

May 27 - June 3, 2018

Gothenburg, Sweden

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

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Rua RSaraiva J(2023)PyAnaDroid: A fully-customizable execution pipeline for benchmarking Android Applications2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME58846.2023.00077(586-591)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICSME58846.2023.00077
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
Dorfer TDemetz LHuber S(2020)Impact of mobile cross-platform development on CPU, memory and battery of mobile devices when using common mobile app featuresProcedia Computer Science10.1016/j.procs.2020.07.029175(189-196)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.07.029
Cañete AHorcas JAyala IFuentes L(2020)Energy efficient adaptation engines for android applicationsInformation and Software Technology10.1016/j.infsof.2019.106220118:COnline publication date: 1-Feb-2020
https://dl.acm.org/doi/10.1016/j.infsof.2019.106220
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
Cruz LAbreu RLo D(2019)To the attention of mobile software developersEmpirical Software Engineering10.1007/s10664-019-09701-024:4(2438-2468)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s10664-019-09701-0

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A Comparative Analysis of Mobile UI Testing Frameworks in Continuous Integration Environments

Development frameworks for mobile devices: a comparative study about energy consumption

An optimized energy saving mechanism in IEEE 802.16e Mobile WiMAX systems

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