Automated Testing of Motion-based Events in Mobile Applications

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dc.contributor.authorEmam, Sepideh
dc.contributor.authorMiller, James
dc.date.accessioned2019-01-03T01:00:54Z
dc.date.available2019-01-03T01:00:54Z
dc.date.issued2019-01-08
dc.description.abstractAutomated 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.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.895
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/60181
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSoftware Development for Mobile Devices, Wearables, and the Internet-of-Things
dc.subjectSoftware Technology
dc.subjectMobile applications, software testing
dc.titleAutomated Testing of Motion-based Events in Mobile Applications
dc.typeConference Paper
dc.type.dcmiText

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