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https://doi.org/10.1109/icsm.2...
Article . 2003 . Peer-reviewed
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Testing Web applications

Authors: G. A. DI LUCCA; FASOLINO, ANNA RITA; F. FARALLI; U. DE CARLINI;

Testing Web applications

Abstract

The rapid diffusion of Internet and open standard technologies is producing a significant growth of the demand of Web sites and Web applications with more and more strict requirements of usability, reliability, interoperability and security. While several methodological and technological proposals for developing Web applications are coining both from industry and academia, there is a general lack of methods and tools to carry out the key processes that significantly impact the quality of a Web application (WA), such as the validation & verification (V&V), and quality assurance. Some open issues in the field of Web application testing are addressed in this paper. The paper exploits an object-oriented model of a WA as a test model, and proposes a definition of the unit level for testing the WA. Based on this model, a method to test the single units of a WA and for the integration testing is proposed. Moreover, in order to experiment with the proposed technique and strategy, an integrated platform of tools comprising a Web application analyzer, a repository, a test case generator and a test case executor, has been developed and is presented in the paper. A case study, carried out with the aim of assessing the effectiveness of the proposed method and tools, produced interesting and encouraging results.

Country
Italy
Related Organizations
Keywords

Grey-Box testing, Web Application Testing; Web Engineering; Grey-Box testing, Web Application Testing, Web Engineering

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    55
    popularity
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    Average
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Average
Top 1%
Top 10%
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