Test Cases Prioritization in User Session based Testing for Improving Fault Detection Rate

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. Executing all the tests in a reduced test suite can still be time consuming in practice. This paper describes the test cases prioritization method to schedule the test cases in order to improve the rate of fault detection. This criterion is based on two factors, frequency (Feq) and dependent count (Dept) of requests. The average percent of fault detected (APFD) metric is used to reveal the permutation of test cases in a way may lead to faster detection available faults in a modified version of web application.