Abstract

In order to maintain agility and flexibility within competitive markets, organizations have been exploring ways of adjustingproactively to innovations, changes and complex events by use of EA concepts as a means to model their business processes andstrategies. Consequently, the need to ensure appropriate validation of EA taxonomies has been considered as an essential part ofthese processes as the requirement ensures that business motivation relates to information systems and technological infrastructure. In this research, an approach referred to as Model Driven Validation Approach (MDVA) is introduced. MDVAallows modeling of EA with validation attributes, formalization of the validation concepts and transformation of model artifacts toontologies. The transformation simplifies querying based on motivation and constraints. The major contributions of this work arethe extension of a metamodel of Business Layer of an EAF with Validation Element and the development of EAF model toontology transformation Approach. With this innovation, domain-driven design and object-oriented analysis concepts are appliedto achieve the EAF model’s validation using ontology querying methodology. Two case studies were deployed in the researchusing the Design Science Research approach. The produced artifacts were evaluated based on the criteria specified in therequirements of the design context with emphasis on functionality, completeness, consistency, accuracy, performance, reliabilityand usability.

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