A SURVEY ON AUTOMATED USER INTERFACE TESTING FOR MOBILE APPLICATIONS

Samir, Amira; Amin Maghawry, Huda; Badr, Nagwa;

Abstract


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.


Other data

Title A SURVEY ON AUTOMATED USER INTERFACE TESTING FOR MOBILE APPLICATIONS
Authors Samir, Amira ; Amin Maghawry, Huda ; Badr, Nagwa 
Keywords mobile application testing;user interface testing;functional testing;system testing;black-box testing
Issue Date May-2022
Journal International Journal of Intelligent Computing and Information Sciences 
Volume 22
Issue 2
Start page 126
End page 136
ISSN 2535-1710
DOI 10.21608/ijicis.2022.98138.1124

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