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A method for transforming knowledge discovery metamodel to ArchiMate models

Authors :
Andrea Delgado
Mario Piattini
Francisco Ruiz
Virginia Bacigalupe
Ricardo Pérez-Castillo
Source :
Software and Systems Modeling
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

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.

Details

ISSN :
16191374 and 16191366
Volume :
21
Database :
OpenAIRE
Journal :
Software and Systems Modeling
Accession number :
edsair.doi.dedup.....67fb8bbef2b63fa7fbef16d79e5d1762
Full Text :
https://doi.org/10.1007/s10270-021-00912-y