Fuzzy Rule Based Approach for Quality Analysis of Web Service Composition Using Complexity Metrics

Abstract

Since the human needs are fast changing, the present day software tends to be complex. So, complexity analysis of any software is the one of the challenging areas of research. In the literature review, a good number of articles are available on traditional software complexity analysis; but the complexity analysis of service oriented architecture based software is not studied extensively till date. The web service is the basic building block of SOA. Composition of web service is done through a Business Process Execution Language; but a large number of web service compositions make the software more complex. So, it is necessary to analyze the complexity of BPEL processes. Business activities govern long-running complex composed service. That reduces the service reliability, performability, and others quality attributes. Business process complexity metrics are considered for analysis of composed web service. In this work different complexity metrics are proposed and Fuzzy logic is used for quality analysis of web service composition. This model relates business complexity metrics such as activity complexity, structural complexity, control ow complexity to high-level quality attributes such as functionality, usability, maintainability, reliability, performability using fuzzy rule-based approach.