research-article

A Systematic Mapping on Energy Efficiency Testing in Android Applications

Authors:

Jaziel S. Moreira,

Everton L. G. Alves,

Wilkerson L. AndradeAuthors Info & Claims

SBQS '20: Proceedings of the XIX Brazilian Symposium on Software Quality

Article No.: 3, Pages 1 - 10

https://doi.org/10.1145/3439961.3439964

Published: 06 March 2021 Publication History

Abstract

Android devices include a wide range of features and functionalities. However, they are limited by their battery capacity. Energy efficiency has become a critical non-functional requirement for Android applications. Most applications use multiple hardware elements that may consume a great amount of energy. Moreover, energy faults and bad resource management may aggravate this issue. Several works have proposed solutions to help developers deal with energy consumption issues. In this work, we present a systematic mapping study on energy efficiency testing for Android applications. From a starting set of 1525 papers, we narrowed our investigation to 32 relevant ones. The most common research topics were Fine-grained Estimation with nine studies, followed by Test Generation and Classification, both with six studies. We also found that most apply only dynamic solutions and use software-based strategies to estimate energy consumption. Finally, we discuss a series of open problems that should be addressed by future research.

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Cited By

Chand RKhan SHussain SWang W(2024)An ML-Based Quality Features Extraction (QFE) Framework for Android AppsInformation Systems and Technologies10.1007/978-3-031-45651-0_27(269-278)Online publication date: 15-Feb-2024
https://doi.org/10.1007/978-3-031-45651-0_27
Huber SLorey TFelderer M(2023)Techniques for Improving the Energy Efficiency of Mobile Apps: A Taxonomy and Systematic Literature Review2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA60479.2023.00051(286-292)Online publication date: 6-Sep-2023
https://doi.org/10.1109/SEAA60479.2023.00051

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Published In

cover image ACM Other conferences

SBQS '20: Proceedings of the XIX Brazilian Symposium on Software Quality

December 2020

430 pages

ISBN:9781450389235

DOI:10.1145/3439961

Editors:
Ivan Machado
(UFBA)
,
Heitor Costa
(UFLA)
,
Adriano Albuquerque
(UNIFOR)
,
Suzana Sampaio
(UFRPE)
,
Rodrigo Santos
(UNIRIO)
,
Sheila Reinehr
(PUCPR)
,
Gleison Santos
(UNIRIO)
,
Sandro Bezerra
(UFPA)
,
Davi Viana
(UFMA)
,
Adriano Bessa Albuquerque
(UNIFOR)
,
Ana Regina Cavalcanti da Rocha
(COPPE/UFRJ)
,
Gleison Santos
(UNIRIO)
,
Ivan Machado
(UFBA)
,
Marcello Thiry
(UNIVALI)
,
Monalessa Perini Barcellos
(UFES)
,
Sheila Reinehr
(PUCPR)
,
Tayana Conte
(UFAM)
,
Davi Viana
(UFMA)
,
Marcelo Schots
(UERJ)

Copyright © 2020 ACM.

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Publication History

Published: 06 March 2021

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SBQS'20

SBQS'20: 19th Brazilian Symposium on Software Quality

December 1 - 4, 2020

São Luís, Brazil

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Cited By

Chand RKhan SHussain SWang W(2024)An ML-Based Quality Features Extraction (QFE) Framework for Android AppsInformation Systems and Technologies10.1007/978-3-031-45651-0_27(269-278)Online publication date: 15-Feb-2024
https://doi.org/10.1007/978-3-031-45651-0_27
Huber SLorey TFelderer M(2023)Techniques for Improving the Energy Efficiency of Mobile Apps: A Taxonomy and Systematic Literature Review2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA60479.2023.00051(286-292)Online publication date: 6-Sep-2023
https://doi.org/10.1109/SEAA60479.2023.00051

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