| Abstract [eng] |
There are many organizations that want to represent their business processes (BP) using modeling notations, such as BPMN, UML and Workflow but usually the analyst cannot identify all necessary constraints of BP. Therefore responsibilities for the representatives of the organization cannot be correctly specified which leads to poor quality of work. In order to avoid such problems business process diagrams (BPD) must meet the real world processes. The research area of thesis covers various BP and business rules (BR) modeling notations, the intersection of BP and BR (the relevance and formation of BP and BR, applicability and integration of BR, the extraction of BR and business vocabulary (BV) from BPD). The main issue is the automated extraction of BV and BR from BPD which is used not only to compare business model to real organization processes but also it is useful to have BV in organization for more effective collaboration. The main tasks to solve the identified issue are the analysis of BP with their constraints, analysis of the structures of BR and their applicability in BP, the analysis of structures of BR in BP and finally the formation of the algorithm for the automated result’s extraction, creation and evaluation of prototype. The analysis of existing methods revealed that there is no such method that allows user to form BP and BR effectively integrating all necessary aspects. BPMN and SBVR standards are chosen as main knowledge resources because of their ability to express information in natural language, intuitive modeling style, and compatibility between them. The final result of the research is the designed prototype of the method which represents the business vocabulary which consists of words’ list with their name, identified element, word type, also facts list and BR list. The user can evaluate, manage and change all necessary aspects of modeling of the real world process using business process model, business vocabulary and business rules. Such integration minimize user’s work time, ability to make mistakes, identify business vocabulary in the departments of the organization, which leads to successful growth. |
