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Deriving a Data Model from a Set of Interrelated Business Process Models

机译:从一组相互关联的业务流程模型中派生数据模型

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Business process modeling and management approaches are increasingly used and disclosed between organizations as a means of optimizing and streamlining the business activities. A business process model identifies the activities, resources and data involved in the creation of a product or service, having lots of useful information that can be used to create a data model for the supporting software system. A data model is one of the most important models used in software development. Usually an organization deals with several business processes. As a consequence a software product does not usually support only one business process, but rather a set of business processes. This paper proposes an approach to generate a data model, based on a set of interrelated business processes, modeled in BPMN language. The approach allows aggregating in one data model all the information about persistent data that can be extracted from the set of business process models serving as a basis for the software development.
机译:在组织之间越来越多地使用业务流程建模和管理方法,作为优化和简化业务活动的手段。业务流程模型识别创建产品或服务的活动,资源和数据,具有许多有用的信息,可用于为支持软件系统创建数据模型。数据模型是软件开发中最重要的模型之一。通常组织处理几个业务流程。因此,软件产品通常不支持一个业务流程,而是一组业务流程。本文提出了一种基于由BPMN语言建模的一组相互关联的业务流程生成数据模型的方法。该方法允许在一个数据模型中聚合到可以从作为软件开发的基础的业务流程模型中提取的持久数据的所有信息。

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