面向目标的数据仓库质量度量
Goal-oriented Data Warehouse Quality Measurement
摘要：
需求工程被认为是软件项目成功的关键因素。在这一学科中，面向目标的需求工程方法特别适合于处理需要捕获系统需求和利益相关者需求之间的一致性的项目，如数据仓库项目。然而，仅仅使数据仓系统的要求与业务目标相一致，还不足以确保更好的数据仓产品;还需要采取措施和技术来确保数据仓的质量。在本文中，我们提供了一个数据仓库质量度量（i*DWQM）的建模框架。该框架被视为i* 扩展，为数据仓库需求分析模型的定义提供支持，这些模型包括根据格式良好的度量定义的可量化质量场景。这个扩展是通过UML分析架构定义的。最终的框架已经在Eclipse开发平台上实现。
英文摘要：
Requirements engineering is known to be a key factor for the success of software projects. Inside this discipline, goal-oriented requirements engineering approaches have shown specially suitable to deal with projects where it is necessary to capture the alignment between system requirements and stakeholders' needs, as is the case of data-warehousing projects. However, the mere alignment of data-warehouse system requirements with business goals is not enough to assure better data-warehousing products; measures and techniques are also needed to assure the data-warehouse quality. In this paper, we provide a modelling framework for data-warehouse quality measurement (i*DWQM). This framework, conceived as an i* extension, provides support for the definition of data-warehouse requirements analysis models that include quantifiable quality scenarios, defined in terms of well-formed measures. This extension has been defined by means of a UML profiling architecture. The resulting framework has been implemented in the Eclipse development platform.
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