A SURVEY ON AUTOMATED USER INTERFACE TESTING FOR MOBILE APPLICATIONS

Samir, Amira and Amin, Huda and Badr, Nagwa (2022) A SURVEY ON AUTOMATED USER INTERFACE TESTING FOR MOBILE APPLICATIONS. International Journal of Intelligent Computing and Information Sciences, 22 (2). pp. 126-136. ISSN 2535-1710

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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.

Item Type: Article
Subjects: Open Archive Press > Computer Science
Depositing User: Unnamed user with email support@openarchivepress.com
Date Deposited: 14 Jul 2023 11:05
Last Modified: 28 Mar 2024 04:03
URI: http://library.2pressrelease.co.in/id/eprint/1658

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