Enterprise-level business component identification in business architecture integration

Abstract

The component-based business architecture integration of militaryinformation systems is a popular research topic in the field of militaryoperational research. Identifying enterprise-level business componentsis an important issue in business architecture integration. Currentlyused methodologies for business component identification tend to focuson software-level business components, and ignore such enterpriseconcerns in business architectures as organizations and resources.Moreover, approaches to enterprise-level business component identificationhave proven laborious. In this study, we propose a novel approachto enterprise-level business component identification by consideringoverall cohesion, coupling, granularity, maintainability, and reusability.We first define and formulate enterprise-level business componentsbased on the component business model and the Department of DefenseArchitecture Framework (DoDAF) models. To quantify the indices ofbusiness components, we formulate a create, read, update, and delete(CRUD) matrix and use six metrics as criteria. We then formulate businesscomponent identification as a multi-objective optimization problemand solve it by a novel meta-heuristic optimization algorithm calledthe ‘simulated annealing hybrid genetic algorithm (SHGA)’.Case studies showed that our approach is more practical and efficientfor enterprise-level business component identification than prevalentapproaches.

Keywords

Business architecture integration / Business component / Componentidentification / Create, read, update, and delete(CRUD) matrix / Heuristic

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