Performance Testing Approach to Improve Scalability of Web Services by Addressing Web services Anomalies

Web services evolution needs modification, updating or integration with other web services. Despite several studies introducing regression testing techniques, much remains to be learned about the performance anomalies, their prediction and detection in web services. This thesis also explores how web services clients show their satisfaction regarding the response to their requests without any delay. This thesis has proposed a performance regression testing approach, and designs workload scenarios for the detection of response code metrics. An average performance measuring (APM) metric is also proposed to empirically evaluate the performance regression testing approach.