GENTEST : A NEW GENETIC ALGORITHM-BASED TESTING APPROACH IN TESTING AUTOMATION

Abstract

In today’s time, the systems have become very complex and very big in size because of which manual testing can be a hugely daunting task which is not only very expensive but also very time-consuming. Many new approaches have come up for easing the task of test case generation and testing software systems. So there is a need for new techniques through which we can automate the process of To find the solution to the above issue new search-based techniques have been introduced, Search Based Software Testing(SBST) is used in this. These techniques have become very popular for the automation of test data creation. Through this report, we aim to provide an approach based on Search-Based Software Testing in which we will be using a technique based on Genetic Algorithm(GA) and observe how effective that is in generating test data compared to the classic Genetic Algorithm. In this Thesis, we will work on a modified version of the Genetic Algorithm(GA) to try to automate the process of Test data creation and we will also compare this modified algorithm to the classic version of the Genetic Algorithm. This work will help the future researchers who want to research and work in this field of Automation of test cases using Search-Based Techniques.