Applying variable chromosome length genetic algorithm for testing dynamism of web application

Abstract

This paper presents a proficient technique to test all static and dynamic analysis of chosen web application using state machine and variable chromosome length genetic algorithm. We propose a framework to generate user session based state machine model of dynamic behavior of a web application and the technique used to test the correctness of generated state machine is Variable chromosome length genetic algorithm. In this study, the author projected a new reflexive approach User Session based State Machine to test the dynamic content of a web application. This proposed technique will walk through various states of a highly dynamic web application, create a model of the active user session navigational paths and illustrate the dynamic content by means of a Finite State Machine (FSM). We applied Variable chromosome length genetic algorithm(VCL-GA) for generating test cases for proposed framework generated state machine. During test case generation we are refining test cases of generated state machine on progressive refinement manner using proposed VCL-GA. Finally the author depicts comparison of simple GA and variable chromosome length GA. Results shows that variable chromosome length GA gives efficient and better result on large state machine and especially in dynamic behaviors of application results are efficient.