作者
Dezhi Ran, Hao Wang, Wenyu Wang, Tao Xie
发表日期
2023/5/14
研讨会论文
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
页码范围
894-905
出版商
IEEE
简介
To assure high quality of mobile applications (apps for short), automated UI testing triggers events (associated with UI elements on app UIs) without human intervention, aiming to maximize code coverage and find unique crashes. To achieve high test effectiveness, automated UI testing prioritizes a UI event based on its exploration value (e.g., the increased code coverage of future exploration rooted from the UI event). Various strategies have been proposed to estimate the exploration value of a UI event without considering its exploration diversity (reflecting the variance of covered code entities achieved by explorations rooted from this UI event across its different triggerings), resulting in low test effectiveness, especially on complex mobile apps. To address the preceding problem, in this paper, we propose a new approach named Badge to prioritize UI events considering both their exploration values and exploration …
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