Title | Energy inefficiency diagnosis for Android applications: a literature review |
Author | |
Corresponding Author | Liu, Yepang |
Publication Years | 2023-02
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DOI | |
Source Title | |
ISSN | 2095-2228
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EISSN | 2095-2236
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Volume | 17 |
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 | |
Language | English
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SUSTech Authorship | Corresponding
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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).
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WOS Accession No | WOS:000837701000004
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Publisher | |
EI Accession Number | 20223312559720
|
EI Keywords | Android (Operating System)
; Defects
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ESI Classification Code | Energy Conservation:525.2
; Computer Software, Data HAndling And Applications:723
; Materials Science:951
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Data Source | EV Compendex
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Citation statistics |
Cited Times [WOS]:0
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/395799 |
Department | Department 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 Affilication | Department 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.
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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).
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Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
FCS20532.pdf(1050KB) | Restricted Access | -- |
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