The aspect-oriented requirements engineering (AORE) area intends to provide more appropriated 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 appropriated 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 concern domain, called O4C (Ontology for Concerns); (ii) an ontologically based approach for AORE, called ObasCId, 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; and (iii) a computational support, called ObasCId-Tool, that automates some activities of the ObasCId. Two quasi-experimental studies were performed on ObasCId and ObasCId-Tool, and their results indicated that these technologies may positively contribute for the concern identification and classification effectiveness without harming its execution time.

中文翻译：

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ObasCId(-Tool)：一种基于本体的方法，用于关注点识别和分类及其计算支持

面向方面的需求工程 (AORE) 领域旨在在软件开发周期的早期阶段为软件关注点识别、分类（作为横切或非横切）和模块化提供更合适的策略。关于现有 AORE 方法的一个普遍报告的问题是缺乏适当的资源（指南、流程、目录等）来支持软件工程师在关注点识别和分类期间。这项工作旨在通过提出（i）软件关注领域的参考本体来缓解这个问题，称为 O4C（关注的本体）；(ii) 一种基于本体论的 AORE 方法，称为 ObasCId，这建议使用软件关注目录和定义明确的过程，以支持软件工程师以更系统的方式执行这些活动；(iii) 称为 ObasCId-Tool 的计算支持，可自动执行 ObasCId 的某些活动。对 ObasCId 和 ObasCId-Tool 进行了两项准实验研究，其结果表明这些技术可以在不影响其执行时间的情况下为关注点识别和分类有效性做出积极贡献。