A software engineering environment for modeling and developing knowledge-intensive systems

G. Bruno, Gianpaolo Macario, Alvise Grammatica
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引用次数: 1

Abstract

One of the issues in current software engineering research is the formalization of the production of large-scale software systems. Basically, the knowledge about a production process relies on three models: the product, the organization and the process model. Product and organization models are information models: an extended entity-relationship formalism is suitable to build such models. On the other hand, process models are behavioral models which react to temporal events or to user actions on the repository. The authors' research aims at providing conceptual models which support the construction of rigorous and verifiable organization and process models. They have developed two formalisms: Quid for building E-R models and generating the corresponding repository, and Protob for expressing process models in terms of high level nets. This paper illustrates the formalisms and present examples of process models.<>
用于建模和开发知识密集型系统的软件工程环境
当前软件工程研究的问题之一是大规模软件系统生产的形式化。基本上,关于生产过程的知识依赖于三个模型:产品、组织和过程模型。产品模型和组织模型是信息模型:扩展的实体-关系形式体系适合于构建这类模型。另一方面,流程模型是对临时事件或存储库上的用户操作作出反应的行为模型。作者的研究旨在提供概念模型,以支持构建严格且可验证的组织和过程模型。他们开发了两种形式化:Quid用于构建E-R模型并生成相应的存储库,Protob用于根据高级网络表示过程模型。本文阐述了过程模型的形式化,并给出了过程模型的实例
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