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Automation Tools Supporting the Development of Information Standards for Complex Systems

机译:支持复杂系统信息标准的自动化工具

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As information systems continue to become more complex, the data standards to support them grow in complexity as well. To meet the needs of today's systems, not only must the standards change, but the standards development process must change as well. Most standards development organizations still manually develop their standards. The rising complexity of information standards may soon render this approach infeasible. In the future manually developed standards will likely not meet the needs of the users. Additional reasons for automation are reducing opportunities for human error, and speeding up the consensus building process. The higher level artifacts that structure information standards depend on the type of standard. Standards that specify basic information structures are well suited to generation of documents from UML class diagrams: we describe a freely available tool for doing so. Standards that describe particular uses for those information structures are better off starting from use cases. We describe a freely available web-based tool for creating modular use cases supporting the re-use of actors and scenarios. By focusing on the modeling of data exchange standards and automating the process of creating the standards document directly from the model errors can be reduced, the standards development time can be decreased and the revision process is simplified. In this paper we describe how standards could be built directly from analysis artifacts.
机译:随着信息系统继续变得更加复杂,支持它们的数据标准也在复杂性中增长。为了满足当今系统的需求,不仅必须改变标准,但标准开发过程也必须变化。大多数标准开发组织仍然手动制定标准。信息标准的复杂性上升可能很快就会使这种方法不可行。在未来手动开发的标准可能无法满足用户的需求。自动化的其他原因正在减少人为错误的机会,加快共识建设过程。结构信息标准的较高级别伪影依赖于标准类型。指定基本信息结构的标准非常适合从UML类图中生成文档:我们描述了一个自由的可用工具。描述这些信息结构的特定用途的标准更好地从用例开始。我们描述了一个可自由的基于Web的工具,用于创建支持重新使用的模块化用例,支持演员和场景。通过专注于数据交换标准的建模和自动化直接从模型错误创建标准文档的过程可以减少,可以减少标准开发时间,简化了修订过程。在本文中,我们描述了如何直接从分析伪影中构建标准。

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