Leveraging user-session data to support Web application testing

Web applications are vital components of the global information infrastructure, and it is important to ensure their dependability. Many techniques and tools for validating Web applications have been created, but few of these have addressed the need to test Web application functionality and none have...

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Published in:IEEE transactions on software engineering Vol. 31; no. 3; pp. 187 - 202
Main Authors: Elbaum, S., Rothermel, G., Karre, S., Fisher II, M.
Format: Journal Article
Language:English
Published: New York IEEE 01-03-2005
IEEE Computer Society
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Abstract Web applications are vital components of the global information infrastructure, and it is important to ensure their dependability. Many techniques and tools for validating Web applications have been created, but few of these have addressed the need to test Web application functionality and none have attempted to leverage data gathered in the operation of Web applications to assist with testing. In this paper, we present several techniques for using user session data gathered as users operate Web applications to help test those applications from a functional standpoint. We report results of an experiment comparing these new techniques to existing white-box techniques for creating test cases for Web applications, assessing both the adequacy of the generated test cases and their ability to detect faults on a point-of-sale Web application. Our results show that user session data can be used to produce test suites more effective overall than those produced by the white-box techniques considered; however, the faults detected by the two classes of techniques differ, suggesting that the techniques are complementary.
AbstractList Web applications are vital components of the global information infrastructure, and it is important to ensure their dependability. Many techniques and tools for validating Web applications have been created, but few of these have addressed the need to test Web application functionality and none have attempted to leverage data gathered in the operation of Web applications to assist with testing. In this paper, we present several techniques for using user session data gathered as users operate Web applications to help test those applications from a functional standpoint. We report results of an experiment comparing these new techniques to existing white-box techniques for creating test cases for Web applications, assessing both the adequacy of the generated test cases and their ability to detect faults on a point-of-sale Web application. Our results show that user session data can be used to produce test suites more effective overall than those produced by the white-box techniques considered; however, the faults detected by the two classes of techniques differ, suggesting that the techniques are complementary.
Many techniques and tools for validating Web applications have been created, but few of these have addressed the need to test Web application functionality and none have attempted to leverage data gathered in the operation of Web applications to assist with testing. This paper presents several techniques for using user session data gathered as users operate Web applications to help test those applications from a functional standpoint. This paper reports results of an experiment comparing these new techniques to existing white-box techniques for creating test cases for Web applications, assessing both the adequacy of the generated test cases and their ability to detect faults on a point-of-sale Web application. The results show that user session data can be used to produce test suites more effective overall than those produced by the white-box techniques considered; however, the faults detected by the two classes of techniques differ, suggesting that the techniques are complementary.
Author Elbaum, S.
Rothermel, G.
Fisher II, M.
Karre, S.
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  fullname: Fisher II, M.
  organization: Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
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SubjectTerms Adequacy
Application software
Automatic testing
Computer Society
empirical studies
Face detection
Fault detection
Faults
Global information infrastructure
Index Terms- Software testing
Infrastructure
Marketing and sales
Medical diagnostic imaging
Product testing
Proposals
Servers
Software engineering
Software quality
Software systems
Studies
System testing
test data generation
Web applications
Websites
World Wide Web
Title Leveraging user-session data to support Web application testing
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