Naith, Q. and Ciravegna, F. orcid.org/0000-0001-5817-4810 (2018) Mobile devices compatibility testing strategy via crowdsourcing. International Journal of Crowd Science, 2 (3). pp. 225-246. ISSN 2398-7294
Abstract
Purpose - This paper aims to support small mobile application development teams or companies performing testing on a large variety of operating systems versions and mobile devices to ensure their seamless working.
Design/Methodology/Approach - This paper proposes a Hybrid Crowdsourcing method that leverages the power of public crowd testers. This leads to generating a novel crowdtesting workflow DT-CT that focuses on developers and crowd testers as key elements in the testing process without the need for intermediate as managers or lead- ers. This workflow has been used on a novel crowdtesting platform (AskCrowd2Test). This platform enables testing the compatibility of mobile devices and applications at two different levels, High-level (device characteristics) or Low-level (code). Additionally, a Crowd-Powered Knowledge Base (CPKB) has been developed that stores testing re- sults, relevant issues, and their solutions.
Findings - The comparison of the presented DT-CT workflow with the common and most recent crowdtesting workflows showed that DT-CT may positively impact the test- ing process by reducing time-consumption and budget spend due to the direct interaction of developers and crowd testers.
Originality/value - To the authors’ knowledge, this paper is the first to propose crowdtesting workflow based on developers and public crowd testers without crowd man- agers or leaders, which light the beacon for future research in this field. Additionally, this work is the first that authorizes crowd testers with a limited level of experience to participate in the testing process, which helps in studying the behaviors and interaction of end-users with apps and obtain more concrete results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Qamar Naith and Fabio Ciravegna. 2018 Published by Emerald Publishing Limited Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Oct 2018 10:05 |
Last Modified: | 12 Feb 2019 12:02 |
Published Version: | https://doi.org/10.1108/IJCS-09-2018-0024 |
Status: | Published |
Publisher: | Emerald |
Refereed: | Yes |
Identification Number: | 10.1108/IJCS-09-2018-0024 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137389 |