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Towards an Ontology-Based Approach for Eliciting Possible Solutions to Non-Functional Requirements

机译:寻求一种基于本体的方法来提出非功能需求的可能解决方案

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Requirements Engineering plays a crucial role in the software development process. Many works have pointed out that Non-Functional Requirements (NFRs) are critical to the quality of software systems. NFRs, also known as quality requirements, can be difficult to elicit due to their subjective diversity nature. In this paper, we introduce the QR Framework which uses an ontology-based approach to support the collection of knowledge on possible solutions to implement NFRs, semi-automatically connecting related NFRs. Preliminary search mechanisms are provided in a tool to facilitate the identification of possible solutions to an NFR and their related consequences to other solutions and/or other NFRs. To evaluate whether our approach aids eliciting NFRs, we conducted a controlled experiment performing a software development scenario. Our results suggest that reusing NFR knowledge can drive software engineers to obtain a closer to complete set of possible solutions to address quality concerns.
机译:需求工程在软件开发过程中起着至关重要的作用。许多工作指出,非功能需求(NFR)对软件系统的质量至关重要。 NFR,也称为质量要求,由于其主观多样性的性质而可能难以得出。在本文中,我们介绍了QR框架,该框架使用基于本体的方法来支持有关实现NFR的解决方案的知识的收集,半自动连接相关的NFR。在工具中提供了初步的搜索机制,以帮助识别NFR的可能解决方案及其对其他解决方案和/或其他NFR的相关后果。为了评估我们的方法是否有助于引发NFR,我们进行了一项进行软件开发方案的对照实验。我们的结果表明,重用NFR知识可以促使软件工程师获得更接近完整的可能解决方案集,以解决质量问题。

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