中文版 | English
Title

Energy inefficiency diagnosis for Android applications: a literature review

Author
Corresponding AuthorLiu, Yepang
Publication Years
2023-02
DOI
Source Title
ISSN
2095-2228
EISSN
2095-2236
Volume17
Abstract
Android applications are becoming increasingly powerful in recent years. While their functionality is still of paramount importance to users, the energy efficiency of these applications is also gaining more and more attention. Researchers have discovered various types of energy defects in Android applications, which could quickly drain the battery power of mobile devices. Such defects not only cause inconvenience to users, but also frustrate Android developers as diagnosing the energy inefficiency of a software product is a non-trivial task. In this work, we perform a literature review to understand the state of the art of energy inefficiency diagnosis for Android applications. We identified 55 research papers published in recent years and classified existing studies from four different perspectives, including power estimation method, hardware component, types of energy defects, and program analysis approach. We also did a cross-perspective analysis to summarize and compare our studied techniques. We hope that our review can help structure and unify the literature and shed light on future research, as well as drawing developers’ attention to build energy-efficient Android applications.

© 2023, Higher Education Press.

Indexed By
SCI ; EI
Language
English
SUSTech Authorship
Corresponding
Funding Project
This work was supported by the Guangdong Basic and Applied Basic Research Foundation (2021A1515012297), the Shenzhen Science and Technology Innovation Commission (R2020A045), and the Open Project of Guangdong Provincial Key Laboratory of High-Performance Computing(2021).
WOS Accession No
WOS:000837701000004
Publisher
EI Accession Number
20223312559720
EI Keywords
Android (Operating System) ; Defects
ESI Classification Code
Energy Conservation:525.2 ; Computer Software, Data HAndling And Applications:723 ; Materials Science:951
Data Source
EV Compendex
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/395799
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Department of Computer Science, Jinan University, Guangzhou; 510632, China
2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China
3.The Department of Computing, Hong Kong Polytechnic University, 999077, Hong Kong
Corresponding Author AffilicationDepartment of Computer Science and Engineering
Recommended Citation
GB/T 7714
Sun, Yuxia,Fang, Jiefeng,Chen, Yanjia,et al. Energy inefficiency diagnosis for Android applications: a literature review[J]. Frontiers of Computer Science,2023,17.
APA
Sun, Yuxia.,Fang, Jiefeng.,Chen, Yanjia.,Liu, Yepang.,Chen, Zhao.,...&Tan, Ziyuan.(2023).Energy inefficiency diagnosis for Android applications: a literature review.Frontiers of Computer Science,17.
MLA
Sun, Yuxia,et al."Energy inefficiency diagnosis for Android applications: a literature review".Frontiers of Computer Science 17(2023).
Files in This Item:
File Name/Size DocType Version Access License
FCS20532.pdf(1050KB) Restricted Access--
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