Adaptive random testing of mobile application
Zhifang Liu, Xiaopeng Gao, Xiang Long · 2010
Mobile applications are becoming more and more powerful yet also more complex. While mobile application users expect the application to be reliable and secure, the complexity of the mobile application makes it prone to have faults. Mobile application engineers and testers use testing technique to ensure the quality of mobile application. However, the testing of mobile application is time-consuming and hard to automate. In this paper, we model the mobile application from a black box view and propose a distance metric for the test cases of mobile software. We further proposed an ART test case generation technique for mobile application. Our experiment shows our ART tool can both reduce the number of test cases and the time needed to expose first fault when compared with random technique.