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

被引：7
作者：
Veleda, Rodrigo [1 ]
Cysneiros, Luiz Marcio [1 ]
机构：
[1] York Univ, Sch Informat Technol, Toronto, ON, Canada
来源：
ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2019) | 2019年 / 11483卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Non-Functional Requirements; Knowledge reuse; Ontology; Quality requirements;
D O I：
10.1007/978-3-030-21290-2_10
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：145 / 161
页数：17
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