A survey on automated user interface testing for mobile applications
Joint Authors
Maghawiri, Huda Amin
Badr, Najwa L.
Samir, Amirah
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 22, Issue 2 (31 May. 2022), pp.126-136, 11 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2022-05-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Nowadays, smartphones play a remarkable role in our lives.
testing mobile applications is significant to guarantee their quality.
automated testing is applied to minimize the cost and the interval of time instead of manual testing.
there are different testing levels which are unit testing, integration testing, system testing and acceptance testing.
automated mobile application testing type methodologies are categorized into white-box testing, black-box testing and grey-box testing.
besides, there are several testing types such as functional testing and non-functional testing.
most of the existing studies focus on user interface testing which is type of functional testing.
in this paper, testing approaches for user interface testing through different existing studies from 2013 to 2021 have been surveyed.
those approaches are classified into model-based testing, model learning testing, search-based testing, random-based testing, and record & replay testing.
several essential issues related to those approach such as the optimization and redundancy for generation of test suites have been mentioned.
finally, challenges in automated mobile applications user interface testing have been discussed.
American Psychological Association (APA)
Samir, Amirah& Maghawiri, Huda Amin& Badr, Najwa L.. 2022. A survey on automated user interface testing for mobile applications. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 2, pp.126-136.
https://search.emarefa.net/detail/BIM-1373835
Modern Language Association (MLA)
Samir, Amirah…[et al.]. A survey on automated user interface testing for mobile applications. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 2 (May. 2022), pp.126-136.
https://search.emarefa.net/detail/BIM-1373835
American Medical Association (AMA)
Samir, Amirah& Maghawiri, Huda Amin& Badr, Najwa L.. A survey on automated user interface testing for mobile applications. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 2, pp.126-136.
https://search.emarefa.net/detail/BIM-1373835
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 134-136
Record ID
BIM-1373835