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Automated Testing of Motion-based Events in Mobile Applications

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Title:Automated Testing of Motion-based Events in Mobile Applications
Authors:Emam, Sepideh
Miller, James
Keywords:Software Development for Mobile Devices, Wearables, and the Internet-of-Things
Software Technology
Mobile applications, software testing
Date Issued:08 Jan 2019
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.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/60181
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Software Development for Mobile Devices, Wearables, and the Internet-of-Things


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