Automated Testing of Motion-based Events in Mobile Applications

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2019-01-08

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Automated test case generation is one of the main challenges in testing mobile applications. This challenge becomes more complicated when the application being tested supports motion-based events. In this paper, we propose a novel, hidden Markov model (HMM)-based approach to automatically generate movement-based gestures in mobile applications. A HMM classifier is used to generate movements, which mimic a user’s behaviour in interacting with the application’s User Interface (UI). We evaluate the proposed technique on three different case studies; the evaluation indicates that the technique not only generates realistic test cases, but also achieves better code coverage when compared to randomly generated test cases.

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Software Development for Mobile Devices, Wearables, and the Internet-of-Things, Software Technology, Mobile applications, software testing

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10 pages

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Proceedings of the 52nd Hawaii International Conference on System Sciences

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Attribution-NonCommercial-NoDerivatives 4.0 International

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