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A method for transforming knowledge discovery metamodel to ArchiMate models
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 mod...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327603/ https://www.ncbi.nlm.nih.gov/pubmed/34366763 http://dx.doi.org/10.1007/s10270-021-00912-y |
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author | Pérez-Castillo, Ricardo Delgado, Andrea Ruiz, Francisco Bacigalupe, Virginia Piattini, Mario |
author_facet | Pérez-Castillo, Ricardo Delgado, Andrea Ruiz, Francisco Bacigalupe, Virginia Piattini, Mario |
author_sort | Pérez-Castillo, Ricardo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8327603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83276032021-08-02 A method for transforming knowledge discovery metamodel to ArchiMate models Pérez-Castillo, Ricardo Delgado, Andrea Ruiz, Francisco Bacigalupe, Virginia Piattini, Mario Softw Syst Model Regular Paper 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. Springer Berlin Heidelberg 2021-08-02 2022 /pmc/articles/PMC8327603/ /pubmed/34366763 http://dx.doi.org/10.1007/s10270-021-00912-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Regular Paper Pérez-Castillo, Ricardo Delgado, Andrea Ruiz, Francisco Bacigalupe, Virginia Piattini, Mario A method for transforming knowledge discovery metamodel to ArchiMate models |
title | A method for transforming knowledge discovery metamodel to ArchiMate models |
title_full | A method for transforming knowledge discovery metamodel to ArchiMate models |
title_fullStr | A method for transforming knowledge discovery metamodel to ArchiMate models |
title_full_unstemmed | A method for transforming knowledge discovery metamodel to ArchiMate models |
title_short | A method for transforming knowledge discovery metamodel to ArchiMate models |
title_sort | method for transforming knowledge discovery metamodel to archimate models |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327603/ https://www.ncbi.nlm.nih.gov/pubmed/34366763 http://dx.doi.org/10.1007/s10270-021-00912-y |
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