Home > Archive > 2015 > Volume 5 Number 10 (Oct. 2015) >
IJIET 2015 Vol.5(10): 768-771 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.608

An Efficient Test Cases Reduction Approach in User Session Based Testing

Hsu Mon Maung and Kaythi Win

Abstract—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 structural analysis of web application with the user session data is used to ensure test results of web services. The entropy gain theory is applied in test cases reduction of proposed system to get the best test cases that cover all user accesses of web application. Executing all the tests in a reduced test suite can still be time consuming in practice. Therefore, test cases prioritization is proposed to reorder the reduced test cases with the goal of improving the rate of fault detection. The effectiveness of test cases reduction approach is evaluated by fault detection rate.

Index Terms—Web application testing, user session based testing, test cases reduction, entropy measure.

Hsu Mon Maung is with the University of Computer Studies, Mandalay, Myanmar (e-mail: hsumon77@ gmail.com).
Kaythi Win is with University of Computer Studies, Mandalay, Myanmar (e-mail: kthiwin11@gmail.com).

[PDF]

Cite: Hsu Mon Maung and Kaythi Win, "An Efficient Test Cases Reduction Approach in User Session Based Testing," International Journal of Information and Education Technology vol. 5, no. 10, pp. 768-771, 2015.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

Article Metrics in Dimensions