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Testing web applications

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dc.contributor.author Mansour, Nashat
dc.contributor.author Houri, Manal
dc.date.accessioned 2016-01-25T13:05:19Z
dc.date.available 2016-01-25T13:05:19Z
dc.date.copyright 2006
dc.date.issued 2016-01-25
dc.identifier.issn 0950-5849 en_US
dc.identifier.uri http://hdl.handle.net/10725/2946
dc.description.abstract Traditional testing techniques are not adequate for web-based applications, since they miss their additional features such as their multi-tier nature, hyperlink-based structure, and event-driven feature. Limited work has been done on testing web applications. In this paper, we propose new techniques for white box testing of web applications developed in the .NET environment with emphasis on their event-driven feature. We extend recent work on modeling of web applications by enhancing previous dependence graphs and proposing an event-based dependence graph model. We apply data flow testing techniques to these dependence graphs and propose an event flow testing technique. Also, we present a few coverage testing approaches for web applications. Further, we propose mutation testing operators for evaluating the adequacy of web application tests. en_US
dc.language.iso en en_US
dc.title Testing web applications en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 198629170 en_US
dc.author.woa N/A en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal Information and Software Technology en_US
dc.journal.volume 48 en_US
dc.journal.issue 1 en_US
dc.article.pages 31-42 en_US
dc.keywords Coverage testing en_US
dc.keywords Data flow testing en_US
dc.keywords Event flow testing en_US
dc.keywords Dependence graphs en_US
dc.keywords Mutation testing en_US
dc.keywords Web applications en_US
dc.identifier.doi http://dx.doi.org/10.1016/j.infsof.2005.02.007 en_US
dc.identifier.ctation Mansour, N., & Houri, M. (2006). Testing web applications. Information and Software Technology, 48(1), 31-42. en_US
dc.author.email nmansour@lau.edu.lb
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0950584905000297


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