Abstract
The paper proposes an approach to automated two-phase business model-driven synthesis of the conceptual database model. Unlike the existing approaches, which are characterised by the direct synthesis of the target model based on business process models represented by concrete notations (e.g. BPMN or UML activity diagram), the proposed approach is characterised by the introduction of a domain specific language (DSL) as an intermediate between different concrete business modelling notations and the target data modelling notation. Thus, the data model synthesis is split into two phases: (i) extraction of specific concepts from the source business process model and their DSL-based representation, and (ii) automated generation of the target data model based on the DSL-based representation of the extracted concepts. Such an indirect approach could simplify the target data model synthesis and facilitate modifications of the required generator, since all synthesis rules are implemented by one generator that is independent of different source notations in contrast to the existing approaches that require different generators for each source business modelling notation.
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Brdjanin, D., Banjac, D., Banjac, G., Maric, S. (2017). An Approach to Automated Two-Phase Business Model-Driven Synthesis of Data Models. In: Ouhammou, Y., Ivanovic, M., Abelló, A., Bellatreche, L. (eds) Model and Data Engineering. MEDI 2017. Lecture Notes in Computer Science(), vol 10563. Springer, Cham. https://doi.org/10.1007/978-3-319-66854-3_5
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