A Review: Study of Test Case Generation Techniques

Abstract

Software testing is very labor intensive task for developing software and improving its quality. According to some researchers and software professionals,50% of the time, cost and effort are spent on software testing.To test software, generating test cases is the most important task.Testing can be done either manually or automatically by using various testing tools. In today’s scenario software are testedautomatically with the help of tools as it is a fast and accurate process of testing software. Although various testing tools are available in market and are used by testers to test the software and to generate test cases and test data automatically.There are various techniques available for generating test cases like fuzzy logic, finite state machine, neural networks, genetic algorithms, soft computing, genetic programming, evolutionary computation and many others.This paper presents various test case generation methods, test case minimization, selection, and prioritization and evaluation techniques.This paper also focuses on various test case prioritization and selection techniques that help the test engineers to schedule and rank the test cases to reduce the total effort, time and the cost.