Automated Testing of Motion-based Events in Mobile Applications
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Date
2019-01-08
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Abstract
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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