A systematic literature review on Android-specific smells

被引:8
作者
Wu, Zhiqiang [1 ]
Chen, Xin [1 ]
Lee, Scott Uk-Jin [1 ]
机构
[1] Hanyang Univ, Dept Comp Sci & Engn, Seoul, South Korea
关键词
Android; Code smell; Systematic literature review; CODE-SMELLS; ENERGY-CONSUMPTION; IMPACT; APPS;
D O I
10.1016/j.jss.2023.111677
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Context: Code smells are well-known concepts in Object-Oriented (OO) programs as symptoms that negatively impact software quality and cause long-term issues. However, the domain-specific smells in Android have not yet been investigated well. Android smells often refer to the misuse of mobile SDK and causes of performance, accessibility, and efficiency issues that end-users can perceive.Objective: This study aims to provide a clear overview of state-of-the-art techniques for addressing Android-specific code smells to understand existing methods and open challenges, which help the community understand the significance of Android smells and the current status of research. Methods: We conducted a Systematic Literature Review of 4,820 distinct papers published until 2021, following a consolidated methodology applied in software engineering. 35 primary studies were selected.Results: The known Android smells cannot be treated equally in the proposed approaches, as they mainly focus on detecting performance-related smells. The proposed approaches capture various features to detect smell instances using different analysis techniques in Android applications. In addition, the Android community continuously identifies new types of smells to improve apps' quality.Conclusion: The research community still encounters several challenges. Thus, this paper outlines various directions for the necessary investigation as future work.(c) 2023 Elsevier Inc. All rights reserved.
引用
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页数:23
相关论文
共 126 条
[31]  
Desnos A., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P5394, DOI 10.1109/HICSS.2012.114
[32]   PETrA: a Software-Based Tool for Estimating the Energy Profile of Android Applications [J].
Di Nucci, Dario ;
Palomba, Fabio ;
Prota, Antonio ;
Panichella, Annibale ;
Zaidman, Andy ;
De Lucia, Andrea .
PROCEEDINGS OF THE 2017 IEEE/ACM 39TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C 2017), 2017, :3-6
[33]  
Di Nucci D, 2017, 2017 IEEE 24TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION, AND REENGINEERING (SANER), P103, DOI 10.1109/SANER.2017.7884613
[34]   Functional Code Clone Detection with Syntax and Semantics Fusion Learning [J].
Fang, Chunrong ;
Liu, Zixi ;
Shi, Yangyang ;
Huang, Jeff ;
Shi, Qingkai .
PROCEEDINGS OF THE 29TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS, ISSTA 2020, 2020, :516-527
[35]  
Fatima I., 2020, QUASOQ APSEC 2020, P71
[36]   Are you still smelling it? A comparative study between Java']Java and Kotlin language [J].
Flauzino, Matheus ;
Verissimo, Julio ;
Terra, Ricardo ;
Cirilo, Elder ;
Durelli, Vinicius H. S. ;
Durelli, Rafael S. .
XII BRAZILIAN SYMPOSIUM ON SOFTWARE COMPONENTS, ARCHITECTURES, AND REUSE (SBCARS), 2018, :23-32
[37]  
Fowler M., 1999, Refactoring: Improving the Design of Existing Code
[38]  
Gadient P, 2020, PROCEEDINGS OF THE 2020 IEEE 27TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION, AND REENGINEERING (SANER '20), P13, DOI [10.1109/SANER48275.2020.9054850, 10.48350/154500]
[39]   Security code smells in Android ICC [J].
Gadient, Pascal ;
Ghafari, Mohammad ;
Frischknecht, Patrick ;
Nierstrasz, Oscar .
EMPIRICAL SOFTWARE ENGINEERING, 2019, 24 (05) :3046-3076
[40]   TECCD: A Tree Embedding Approach for Code Clone Detection [J].
Gao, Yi ;
Wang, Zan ;
Liu, Shuang ;
Yang, Lin ;
Sang, Wei ;
Cai, Yuanfang .
2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2019), 2019, :145-156