Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138061
Title: Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation
Authors: Arnatovich, Yauhen Leanidavich
Wang, Lipo
Ngo, Ngoc Minh
Soh, Charlie
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Arnatovich, Y. L., Wang, L., Ngo, N. M., & Soh, C. (2018). Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation. Software - Practice and Experience, 48(5), 1107-1142. doi:10.1002/spe.2564
Journal: Software - Practice and Experience
Abstract: The increasingly prevalent use of mobile devices has raised the popularity of mobile applications. Therefore, automated testing of mobile applications has become an extremely important task. However, it is still a challenge to automatically generate tests with high coverage for mobile applications due to their specific nontrivial structure and the highly interactive nature of graphical user interfaces (GUIs). In this paper, we propose a novel automated GUI testing technique for mobile applications, namely, Mobolic. In this approach, tests with high coverage are automatically generated and executed by combining the online testing technique and customated input generation. Employing the online testing technique, Mobolic systematically explores the app GUI without falling in a loop. It generates relevant events “on the fly” that are followed by an immediate execution. In addition, involving the customated input generation, Mobolic automatically generates relevant user inputs such as user-predefined, concrete, or random ones. We implemented Mobolic and evaluated its performance on 10 real-world open-source Android applications. Our experimental results show the effectiveness and efficiency of Mobolic in terms of achieved code coverage and overall exercising time.
URI: https://hdl.handle.net/10356/138061
ISSN: 0038-0644
DOI: 10.1002/spe.2564
Schools: School of Electrical and Electronic Engineering 
Rights: © 2018 John Wiley & Sons, Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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