Open AccessAutomatic derivation of the initial conceptual database model from a set of business process models
Author(s) -
Drazen Brdjanin,
Aleksandar Vukotic,
Danijela Banjac,
Goran Banjac,
Slavko Maric
Publication year - 2022
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis210423066b
Subject(s) - computer science , conceptual model , set (abstract data type) , process (computing) , database , business process modeling , conceptual schema , database design , data mining , business process , database model , process modeling , work in process , programming language , psychology , developmental psychology , marketing , gender schema theory , business
The article presents an approach aimed at automatically deriving the initial conceptual database model from a set of business process models. The approach proposes the incremental synthesis of the target model by iteratively composing the partial conceptual database models that are derived from the models contained in the source set. The approach is implemented by the AMADEOS tool, which is the first online web-based tool enabling the automatic derivation of the conceptual database model from a set of business process models. The experimental evaluation proves that the implemented approach enables effective automatic derivation of the initial conceptual database model.