Automatic generation of business process models from user stories

In this paper, we propose an automated approach to extract business process models from requirements, which are presented as user stories. agile software development, the story is a simple description of functionality software. It user's point view and written in natural language. Acceptance criteria list specifications on how new feature expected operate. Our analyzes set acceptance accompanying story, order, first, automatically generate components model, then produce model activity diagram unified modeling language (UML) behavioral diagram. We start with use processing (NLP) techniques elements necessary define rules for retrieving artifacts model. These developed Prolog imported into Python code. The proposed was evaluated cases using different performance measures. results indicate that our method capable generating correct accurate models.