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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Entropy Based Test Cases Reduction Algorithm for User Session Based Testing
verfasst von : Hsu Mon Maung, Kay Thi Win
Erschienen in: Genetic and Evolutionary Computing
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Web applications are crucial role for daily user activities such as online banking, online shopping and searching. It is important to ensure the reliability and web application testing has been used in finding various faults in order to improve the quality of reliable web services. Among test cases generation approaches, user session based testing is an approach to create test cases with real user data. However, real user data usage is extremely large and executing all the test cases can be time consuming in practice. This paper describes the test cases reduction approach for analyzing and replaying the large number of test cases generated from user session data. The entropy gain theory is applied in test cases reduction process to get the best test suite that covers all user accesses of web application. To evaluate the effectiveness of proposed method, the analytical results are described in terms of URLs coverage, reduction time and test cases reduction rate.