Testing is a crucial step in designing and implementing software in the distributed environment. Testing in the distributed applications is not only difficult, but also a costly method. This Research briefly discusses the performance testing in the distributed software environment along with different other testing techniques proposed in the literature that correspond to distributed applications. Additionally, we discuss the key testing challenges faced during the whole process of testing the distributed applications. Much of the focus of this paper is on intelligent agent-based testing. Agent based testing is provide better coordination mechanism between multiple testers and exert more controllability and observablility on fault detection. In this study we have critically analyzed testing methodologies being practiced in the distributed environment. We have studied the merits and limitations of these methodologies proposed in the contemporary literature and have identified the possible improvements in those methodologies to make them more robust.

Abstract-Verification and testing are two formal techniques of defect reduction applied on designing and development phases of SDLC to rationalize quality assurance activities. The process of testing applications in the distributed environment becomes too complex. This study discusses a distributed testing framework that consists of many parallel tester components. The idea is based on utilizing client server environment to conduct software testing efficiently and in a short span of time. It is pertinent to mention that this study is restricted to testing of functional aspects of the software while testing of performance and other quality-of-service aspects are outside the scope of the study. An important factor influencing the use of agent technology in software testing is the dynamic nature of events. Since agents are characterized by intelligence and autonomy, their ability to interact with the environment offers added functionality to make decisions based on the needs of the scenarios that are dynamic in nature. This study shows that the use of agents to build a dynamic model for software testing in the distributed environment results in a more robust and efficient design. The proposed framework is based on distribution of test cases among multiple agents deployed across a distributed system which collaborate with each other to perform testing in an efficient manner. The proposed framework also provides an indepth visibility into the software quality by providing the defect statistics on-the-fly. The experiments have been conducted using Selenium test automation tool. The test cases along with their test scripts and the test run results are described herein.