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ObasCId: An Ontologically-Based Approach for Concern Identification and Classification

机译:obascid:基于在本地识别和分类的基于在本地的方法

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The Aspect-Oriented Requirements Engineering (AORE) area intends to provide more appropriate strategies for software concern identification, classification (as crosscutting or non-crosscutting) and modularization, in the early phases of software development cycle. A commonly reported issue about the existing AORE approaches is the lack of appropriate resources (guidelines, processes, catalogs, among others) to support software engineers during the concern identification and classification. This work aims to mitigate this issue by proposing: (i) a reference ontology for the software concerns domain, called O4C (Ontology for Concerns), and (ii) an ontologically-based approach for AORE, called ObasCId (Ontologically-based Concern Identification and Classification), that suggests the usage of catalogs of software concerns and a well-defined process for supporting software engineers to perform these activities in a more systematic way. An experimental study was performed on ObasCId and its results indicated that this approach may positively contribute for the concern identification and classification effectiveness without harming its execution time.
机译:面向方面的需求工程(AORE)区拟为软件关注识别,分类更合适的策略(如横切或非横切)和模块化,在软件开发周期的早期阶段。通常报告的问题,对现有AORE方法是关注识别和分类过程中缺乏相应的资源(指南,流程,产品目录,等等),以支持软件工程师。这项工作旨在通过提出来缓解这个问题:(I)的参考本体对软件的关注领域,被称为O4C(本体论问题),以及(ii)一个本体论为基础的方法对AORE,称为ObasCId(本体论为基础的关怀鉴定与分类),这表明软件的关注和支持软件工程师以更系统的方式执行这些活动的一个明确定义的过程目录的使用。已于ObasCId进行的实验研究,其结果表明,这种方法可能的关心识别和分类的有效性,而不伤害其执行时间作出积极的贡献。

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