Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/173677
Title: A systematic mapping study for graphical user interface testing on mobile apps
Authors: Nie, Liming
Said, Kabir Sulaiman
Ma, Lingfei
Zheng, Yaowen
Zhao, Yangyang
Keywords: Computer and Information Science
Issue Date: 2023
Source: Nie, L., Said, K. S., Ma, L., Zheng, Y. & Zhao, Y. (2023). A systematic mapping study for graphical user interface testing on mobile apps. IET Software, 17(3), 249-267. https://dx.doi.org/10.1049/sfw2.12123
Journal: IET Software 
Abstract: Mobile apps with tested Graphical User Interface (GUI) tend to have higher downloads in the apps store. In recent years, few efforts were made to analyse the research community and research status of the literature for GUI testing on mobile apps, which brings an obstacle to characterise and understand this field. In this study, the authors propose a systematic mapping study to gain insights into the field. First, the authors conduct an extensive search of relevant literature over seven popular digital libraries. From 4427 candidate studies, 114 primary studies published between January 2011 and September 2022 were selected. Next, the authors analyse these primary studies from the perspectives of bibliometric and qualitative analysis. For the bibliometric analysis, first, the authors analyse the popular research topics and their relationships. Second, the authors study the authors' community. For the qualitative analysis, the authors analyse the objectives, approaches and evaluation metrics employed in these primary studies. Their investigation reports several major findings: (1) there are relatively more studies on two topics, that is, test case generation and the automated test; (2) the most productive authors tend to collaborate and often have relatively broad research interests; (3) the functionality is the main objective of GUI testing; the model-based approach is the most widely used.
URI: https://hdl.handle.net/10356/173677
ISSN: 1751-8814
DOI: 10.1049/sfw2.12123
Schools: School of Computer Science and Engineering 
Rights: © 2023 The Authors. IET Software published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐noDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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