A Service Oriented Architecture Complexity Metric, Based on Statistical Hypothesis Testing.
Michael L. Maynard, G. Dimitoglou · Software Engineering Research and Practice · 2008
Service Oriented Architectures (SOA) is a widely used paradigm for the development and deployment of scaleable, loosely coupled distributed environments. Along with the flexibility and relative ease of deployment, such architectures have inherent complexities. These complexities impact the maintainability and testability of SOA implementations but no metrics exist to identify and express these complexities. This paper presents a first attempt towards developing a preliminary complexity metric, the balance factor, which is derived via statistical hypothesis testing and indicates if computing resources are uniformly distributed throughout a SOA-based environment.