International Journal of Advanced Research and Development

Authors
Mandeep Kaur

Abstract
Software testing is the process of finding errors to evaluate and improve the quality of software. It helps in finding the errors in all phases of software development lifecycle like requirement analysis, design, coding, system resources, system environments, etc. With the changing needs of the customer, it has become important to develop and deliver good quality software which conforms to the needs of the end user. So testing ensures that the software developed is free from bugs, is reliable and has good performance. Optimization is the process of obtaining maximum or minimum value of a function and this process is used to generate and prioritize the test cases in order to evaluate the performance of the software. This paper presents a literature review on the use of particle swarm optimization technique in the field of software testing particularly for software test case generation and prioritization.