Intelligent Genetic Test Suite Selection for E-Commerce Social Media Applications Using Diversity Outcomes

Abstract

In software development, software testing plays an important role. It checks for errors. The test cases used in outcome software testing should be varied in nature for better results. In the present work a multi-objective objective genetic algorithm is used to inject variation which helps in selecting the test case with more variation, here variation is injected in two phases i.e. initial phase and population generation phase and diversity is improved by so-called method. Is the adaptation method, this method of diversity control process has the ability to adapt to the problem given the degree of diversity in the sweet population. Experimental tests have been conducted from which it has been provided that this approach provides better results in terms of improved diversity value.