DaWaRA:一个用于数据仓库需求分析的Eclipse插件

Octavio Glorio, Jesús Pardillo, J. Mazón, J. Trujillo
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引用次数: 11

摘要

在本文中,我们扩展了用于数据仓库的i*框架,并将其与用于数据仓库开发的模型驱动体系结构(MDA)框架结合起来。具体地说,我们的框架通过QVT(查询/视图/转换)语言在需求模型和概念多维模型之间建立了一组正式的转换。这样的转换保证了需求和必要的多维元素之间的可追溯性,因为目标模型概念化了为什么决策者需要某些多维元素来满足他们的信息需求。主要优点是概念多维模型满足需求模型中定义的每个目标和需求。为了支持我们的方法,我们使用了统一建模语言(UML)的分析机制来使其适应数据仓库领域。建议的模型转换体系结构已经在Eclipse开发平台中实现了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DaWaRA: An Eclipse Plugin for Using i* on Data Warehouse Requirement Analysis
In this paper, we have extended the i* framework for data warehouses and we have combined it with our model driven architecture (MDA) framework for the development of data warehouses. Specifically, our framework establishes a set of formal transformations between a requirement model and a conceptual multidimensional model via the QVT (query/view/transformation) language. Such transformations assure the traceability between requirements and the necessary multidimensional elements, because the goal model conceptualizes why certain multidimensional elements are required by decision makers to satisfy their information needs. The main advantage is that the conceptual multidimensional model meets every goal and requirement defined in the requirement model. To support our approach, the profiling mechanism of the Unified Modeling Language (UML) has been used to adapt i* to the data warehouses domain. The proposed model-transformation architecture have been implemented in the Eclipse development platform.
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