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Data flow analysis and testing of Java server pages

Authors: null Chien-Hung Liu;

Data flow analysis and testing of Java server pages

Abstract

Web applications often rely on server-side scripts to handle HTTP requests, to generate dynamic contents, and to interact with other components. The server-side scripts usually mix with HTML statements and are difficult to understand and test. In particular, these scripts do not have any compiling check and could be error-prone. Thus, it becomes critical to test the server-side scripts for ensuring the quality and reliability of Web applications. We adapt traditional dataflow testing techniques into the context of Java Server Pages (JSP), a very popular server-side script for developing Web applications with Java technology. We point out that the JSP implicit objects and action tags can introduce several unique dataflow test artifacts which need to be addressed. A test model is presented to capture the dataflow information of JSP pages with considerations of various implicit objects and action tags. Based on the test model, we describe an approach to compute the intraprocedural and interprocedural data flow test paths for uncovering the data anomalies of JSP pages.

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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!
0
Average
Average
Average
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