JOURNAL ARTICLE

A SURVEY ON AUTOMATED USER INTERFACE TESTING FOR MOBILE APPLICATIONS

Amira SamirHuda Amin MaghawryNagwa Badr

Year: 2022 Journal:   International journal of intelligent computing and information sciences/International Journal of Intelligent Computing and Information Sciences Vol: 0 (0)Pages: 1-11

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.

Keywords:
Computer science Human–computer interaction

Metrics

4
Cited By
1.93
FWCI (Field Weighted Citation Impact)
14
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Multimedia Communication and Technology
Social Sciences →  Social Sciences →  Sociology and Political Science
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