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Multi-Dimensional Composition by Objective in Aspect-Oriented Requirements Analysis

机译:面向方面的需求分析中按目标进行的多维构成

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This paper focuses on composition of requirements artefacts in Aspect-Oriented Requirements Engineering (AORE). Our goal is to equip the Aspect-Oriented Requirements Analysis (AORA) approach [1,2] with an enhanced composition mechanism. The AORA approach consists in the identification, modularization and composition of crosscutting concerns. But the AORA composition [3] operates at a coarser granularity level and its reduced number of operators results in limited composition expressiveness. The core of the work presented in this paper is the description of a composition language and approach that enables a multi-dimensional composition of artefacts based on objectives, therefore stating the purpose or the goal of the composition. This approach provides a composition process with a well-defined syntax and semantics, as well as a tool support integrated to the AORA original tool [3, 4].
机译:本文着重于面向方面的需求工程(AORE)中的需求工件的组成。我们的目标是为面向方面的需求分析(AORA)方法[1,2]配备增强的组合机制。 AORA方法包括对跨领域关注点的识别,模块化和组合。但是AORA组合物[3]在较粗的粒度水平下运行,其减少的运算符数量导致有限的组合物表现力。本文提出的工作的核心是对合成语言和方法的描述,该方法和方法可以基于目标实现工件的多维合成,从而说明合成的目的或目标。这种方法提供了具有明确定义的语法和语义的编写过程,以及集成到AORA原始工具[3,4]的工具支持。

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