Abstract-High cohesion as a desirable principle in software design has an incredible impact on software reuse, maintenance and support. In service-oriented architecture (SOA), the focus of services on single business functionality is defined as conceptual cohesion. Current metrics for measuring service cohesion reflect mostly the structural aspect of cohesion and therefore cannot be utilized to measure conceptual cohesion of services. Latent Semantic Indexing (LSI), on the other hand, is an information retrieval technique and is widely used to measure the degree of similarity between a set of text based documents. In this paper, a metric namely SCD is proposed that measure the conceptual cohesion of services based on LSI technique. This metric consider both service functionality and operation sequence to measure the conceptual cohesion. An evaluation of the metric based on a set of cohesion principles and comparison with the previously proposed metrics are also provided.

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One of the key activities in service-oriented solution development is the identification of services according to a set of predefined design principles. Existing service identification approaches are often prescriptive and based on the architect's experience, therefore might lead to non-optimal designs which results in lower performance, reduced scalability, and complicated dependencies between services. In this paper, an automated method for identifying business services has been proposed by adopting design metrics based on top-down decomposition of processes. This method takes a set of enterprise business processes as input and produces a set of non-dominated solutions representing appropriate business services using a multi-objective genetic algorithm. The method has been realized in form of a tool implementation and a case study has been conducted to show its applicability.

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