Test Case Generation Using Progressively Refined Genetic Algorithm for Ajax Web Application Testing | Bentham Science

摘要

Background: The real strengths of AJAX technology are that AJAX web application is fitfor the heterogeneous and autonomous environment. On the other hand, AJAX poses new challengesand difficulties for web application maintenance, evolution, and testing. Therefore, the prime aim ofthis research work is to present a testing environment for an AJAX web application testing to preventweb application functionalities from failure/ fault.Methods: In this research work, Ajax testing is directed toward revealing faults related to incorrectmanipulation of the DOM. Initial impetus has been made to model the dynamic behavior of web applicationwith the help of user session based state machine. User session-based state machine extractsstates, transitions and DOM change behavior of objects in a specific user session performed onthe web application. Further, the Progressively Refined Genetic Algorithm (PRGA) is used to generatetest cases of dynamic functionality of the chosen AJAX web application under test with the helpof generated user session based state machine.Results: In order to validate the effectiveness of PRGA in revealing faults, faults have been injectedin AJAX web application and efficiency of PRGA approach is validated corresponding to faults revealingcapability. PRGA is applied to detect faults in all required test case to improve effectivenessand results have been compared with respect to the traditional genetic algorithm for test case generation.Conclusion: The proposed PRGA is able to generate the reduced test case that can cover test requirementsin reduced search time.