Please use this identifier to cite or link to this item:
http://hdl.handle.net/10125/60181
Automated Testing of Motion-based Events in Mobile Applications
Item Summary
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: | http://hdl.handle.net/10125/60181 |
ISBN: | 978-0-9981331-2-6 |
DOI: | 10.24251/HICSS.2019.895 |
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 |
Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.
This item is licensed under a Creative Commons License