QoS本体与特征模型协同进行非功能需求的提取

Ting Wang, Yuanjie Si, Xiao Xuan, Xinyu Wang, Xiaohu Yang, Shanping Li, Aleksander J. Kavs
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引用次数: 13

摘要

非功能需求(nfr)通常被认为是构建高质量软件的关键成功因素。然而,大多数需求引出方法只关注于发现功能需求。本文提出了一种新颖的NFRs引出方法,其目的是为需求分析人员提供一个知识库,该知识库有助于在引出访谈期间捕获精确的NFRs过程。知识库由两层组成:上层是特征模型,下层是QoS本体。股票交易领域的案例研究说明了这两层的关系和合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A QoS ontology cooperated with feature models for non-functional requirements elicitation
Non-functional requirements (NFRs) are often regarded as the key success factor in building high quality software. However, most of the requirements elicitation methods are centered on discovering functional requirements only. This paper presents a novel NFRs elicitation approach aiming at empowering requirements analysts with a knowledge repository that aids to the process of capturing precise NFRs during elicitation interviews. The knowledge repository is composed of two layers: the upper layer of feature models and the lower layer of the QoS ontology. The case study of the stock trading domain illustrates the relationships and cooperations of the two layers.
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