Service Oriented Architecture (SOA) is emerging to be the predominant architectural style of choice for many organizations due to the promised agility, flexibility and resilience benefits. However, there are currently few SOA metrics designed to evaluate complexity, effort estimates and health status of SOA solutions. This paper therefore proposes a SOA metrics framework which includes both service level and SOA-wide metrics to measure design and runtime qualities of a SOA solution. The SOA-wide metrics predict the overall complexity, agility and health status of SOA solutions, while service level metrics focus on the fundamental building blocks of SOA, i.e. services. The combined views deliver a compelling suite of SOA metrics that would benefit organizations as they consider adopting SOA. These metrics, which are based on observations of many SOA engagements, are illustrated through a case study that describes a recent ongoing project at IBM where SOA was utilized to build the solution assets.

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Service-Oriented Architecture (SOA) is now considered a mainstream option for delivering solutions that promise business agility benefits. Unfortunately, there is currently no quantitative approach for predicting the expected agility of a SOA system under development. In this paper we present an empirically validated Predicted Business Agility Index (PBAI) which is designed to measure the expected business agility of a SOA deployment. The PBAI is constructed through statistically analyzing the relationship between 150 technical attributes and the attainment of business agility in 39 SOA deployments. 37 of the technical attributes, classified into three areas of architecture, business process management, and impact analysis are determined to be the primary contributors to achieving business agility. The PBAI is evaluated using a leave-one-out cross validation experiment of the SOA projects in our study.