Analysis of Service-Oriented Architectures with Sensitivity Analysis

This paper investigates the application of mathematical methodologies in software performance engineering. It applies the techniques of design of experiment (DOE), and develops a systematic approach to improve software performance and to reduce development cost for the design of the service-oriented software systems. This work aims at developing a mechanism that helps software designers to optimize software designs by providing more accurate feedback of software performance with sensitivity analysis. To illustrate the efficacy of the proposed approach, the paper also includes a case study on an existing Web service-oriented system & a clinical decision support system (CDSS)