| dc.description | Both researchers and professionals recognize the importance of business process modelling in understanding and designing accurate software systems. Therefore, it is essential that methodologies and modelling techniques provide guidelines in the discovery of data for a process to be modelled. This is very important for inexperienced people, university students and software engineers with little experience in process modelling. In this context, the original contributions of this article are related to our business process modelling methodology, called Maule , which provides: a) a process that guides the analyst in
obtaining artifacts; b) A template for organizing data, diagrams and models; c) a set of concepts (value proposition, user segment, customer relationships, distribution channels, collaborators, influencers, cost structure, sources of income, process rules and data) to understand a process; and d) the integration of best practices of other methodologies of process modelling. | |
