Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/1012
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dc.contributor.authorNguyen, Thanh Binh-
dc.contributor.authorMariem, Allagui-
dc.contributor.authorOum-El-Kheir, Aktou-
dc.contributor.authorIoannis, Parissis-
dc.contributor.authorLe, Thi Thanh Binh-
dc.date.accessioned2021-03-08T07:20:20Z-
dc.date.available2021-03-08T07:20:20Z-
dc.date.issued2020-
dc.identifier.citationhttps://link.springer.com/chapter/10.1007/978-3-030-63119-2_53vi_VN
dc.identifier.isbn978-3-030-63118-5-
dc.identifier.isbn978-3-030-63119-2 (ebook)-
dc.identifier.issn1865-0929-
dc.identifier.issn1865-0937 (electronic)-
dc.identifier.urihttp://elib.vku.udn.vn/handle/123456789/1012-
dc.descriptionScientific Paper; Pages: 651-661vi_VN
dc.description.abstractCrowdsourcing-based testing is a recent approach where testing is operated by volunteer users through the cloud. This approach is particularly suited for mobile applications since various users operating in various contexts can be involved. In the field of software engineering, crowd-testing has acquired a reputation for supporting the testing tasks, not only by professional testers, but also by end users. In this paper, we present TMACSTest (Testing of Mobile Applications using Crowdsourcing). This platform provides the important features for crowdsourcing testing of mobile apps by means of the following functionalities: It allows mobile app providers to register and upload mobile apps for testing, and it allows volunteering Internet users to register and test uploaded mobile apps. Expected behavior is that uploaded mobile apps are tested by many different Internet users in order to cover different runtime platforms and meaningful geographical locations.vi_VN
dc.language.isoenvi_VN
dc.publisherSpringer Publishingvi_VN
dc.subjectMobile application testingvi_VN
dc.subjectCrowdsourced testingvi_VN
dc.subjectCrowd-based testingvi_VN
dc.titleExperience Report on Developing a Crowdsourcing Test Platform for Mobile Applicationsvi_VN
dc.typeWorking Papervi_VN
Appears in Collections:12th International Conference on Computational Collective Intelligence - ICCCI 2020

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