ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.093
An Automated Detection Framework for Testing Visual GUI Layouts of Android Applications
Abstract— As Android is one of the most popular mobile operating systems, software quality maintenance
of Android applications becomes an important issue. Although many studies have been conducted for
detecting software bugs of Android apps, the chaotic layout problem appearing in different screen resolutions
has not been discussed. In this paper, we propose a novel detection framework that employs two detection
schemes for testing visual GUI layouts. The empirical experiments were conducted with three Android apps.
The preliminary results show that the proposed detection framework can effectively discover all chaotic
situations of the test apps.
Index Terms— Android, Chaotic Layouts, GUI testing, Empirical Study.
Yen-An Shih, Yi-Ping Chang, Cheng-Zen Yang
Dept. of Comp. Sci. and Eng., Yuan Ze University, TAIWAN
Cite: Yen-An Shih, Yi-Ping Chang, Cheng-Zen Yang, "An Automated Detection Framework for Testing Visual GUI Layouts of Android Applications," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 544-548, Beijing, 25-27 June, 2017.