Abstract
Enterprise architecture has become an important driver to facilitate digital transformation in companies, since it allows to manage IT and business in a holistic and integrated manner by establishing connections among technology concerns and strategical/motivational ones. Enterprise architecture modelling is critical to accurately represent business and their IT assets in combination. This modelling is important when companies start to manage their enterprise architecture, but also when it is remodelled so that the enterprise architecture is realigned in a changing world. Enterprise architecture is commonly modelled by few experts in a manual way, which is error-prone and time-consuming and makes continuous realignment difficult. In contrast, other enterprise architecture modelling proposal automatically analyses some artefacts like source code, databases, services, etc. Previous automated modelling proposals focus on the analysis of individual artefacts with isolated transformations toward ArchiMate or other enterprise architecture notations and/or frameworks. We propose the usage of Knowledge Discovery Metamodel (KDM) to represent all the intermediate information retrieved from information systems’ artefacts, which is then transformed into ArchiMate models. Thus, the core contribution of this paper is the model transformation between KDM and ArchiMate metamodels. The main implication of this proposal is that ArchiMate models are automatically generated from a common knowledge repository. Thereby, the relationships between different-nature artefacts can be exploited to get more complete and accurate enterprise architecture representations.
Highlights
Enterprise architecture (EA) is a key mechanism to represent and manage IT and business in a holistic way by defining relationships between technology aspects and business, strategical, and motivational concerns
What we propose in this research is the usage of Knowledge Discovery Metamodel (KDM) [45], according to a Model-Driven Engineering (MDE) approach, in order to consider a common knowledge repository that can be used in an integrated way for automatic transformations
The scope of the model transformation presented in this research is restricted to the Code and Action packages of the KDM metamodel, since we focus on source code
Summary
Enterprise architecture (EA) is a key mechanism to represent and manage IT and business in a holistic way by defining relationships between technology aspects and business, strategical, and motivational concerns. EA management (EAM) is the “discipline for proactively and holistically leading enterprise responses to disruptive forces by identifying and analysing the execution of change toward desired business vision and outcomes. One of the major benefits of EAM perceived by companies is that it enables them to achieve the effective communication and alignment between business and IT [29], and drive the organization change [2]. EA is perceived by companies as on the most useful tools to drive digital transformation, i.e., a technology-driven continuous change process of companies and our entire society [49].
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