DefinePK

Abstract

Web application performance testing is the emerging and most important field of software engineering. The performances of the web applications depends upon several different type of the testing process like load testing, soak testing, smoke testing and stress testing. The load testing is used in this paper to determine how the web application behaves under varying load. In this paper the Multi Objective Particle Swarm Optimization (MOPSO) proposed to optimize the server behavior for improving the performance in the web application. The MOPSO select the more number of server behavior such as work load, CPU, bandwidth, throughput, response time, hits per second, database locks, thread count, number of position in the service queue, round trip time, server mean service time. The optimized server parameter tested with JMeter performance tools which return the better services to the user. The result shows that MOPSO increase the performance of the web application in terms of less workload, maximum CPU utilization, less bandwidth and less response time.