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A method for transforming knowledge discovery metamodel to ArchiMate models
- 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.
- Subjects :
- MDE
Source code
Computer science
business.industry
Enterprise architecture
Model transformation
media_common.quotation_subject
Digital transformation
ArchiMate
ATL
Knowledge discovery metamodel
Modeling and Simulation
Common knowledge
Regular Paper
Information system
Software engineering
business
computer
Software
computer.programming_language
Knowledge Discovery Metamodel
media_common
Subjects
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