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Methods of Automated Model Transformations in Information System Analysis
 Tůma, Jakub ; Merunka, Vojtěch (advisor) ; Toman, Prokop (referee)
This doctoral dissertation thesis has impact to holistically development extension of information systems. Thesis has impact to analytical models and its transformation methods. This thesis is focused on models Business Process Modeling Notation (BPMN) and Business Object Relational Modeling (BORM). Model BPMN is developed since 2000. Model BORM is developed since 1993 and it is older. The thesis general target was extension of holistically development of information systems. The main target was to bridge the gap between BPMN and BORM models. This thesis was inspired by Finite State Machine (FSM). The state of the art describes approaches to models transformation. In the analytical part the mathematical formula are used to describe transformation. This part is used to base for the implementation part. The implementation part contains transformation algorithm its description and verification on the case studies. Impact of developed transformation method is validated on the comparison with the other approaches. The targets were aimed and documented automated transformation calculus. The impact of automated BPMN and BORM models connection using transformation method. The result is method of automated transformation from BPMN model to BORM model using algorithm. The transformation method is based on the Mealy automaton.
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