An Adaptive Framework for Web Services Testing Automation Using JMeter

Abstract

Web services testing have become important in Service oriented architecture (SOA). Several organizations have developed generic components that have been used across multiple customer project implementations. They require extensive human interventions for evaluating and testing Web services which may include new development and enhancement of components. We propose a new test automation framework for Web services testing by aggregating common and project specific features of generic components. The proposed system does not require human intervention in contrast to existing systems where human intervention is necessary. Besides, the proposed system reduces test data dependency, which in turn speeds up execution process. We test the framework on different applications to show that the proposed framework is effective in terms of time and success rate.