详细信息
A projection-based approach to software quality evaluation from the users' perspectives ( SCI-EXPANDED收录 EI收录) 被引量:14
文献类型:期刊文献
英文题名:A projection-based approach to software quality evaluation from the users' perspectives
作者:Yue, Chuan[1]
机构:[1]Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjianjg, Peoples R China
年份:2019
卷号:10
期号:9
起止页码:2341
外文期刊名:INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
收录:SCI-EXPANDED(收录号:WOS:000481418600009)、、EI(收录号:20193407330920)、Scopus(收录号:2-s2.0-85061987136)、WOS
基金:The author would like to thank the editors and the anonymous reviewers for their insightful and constructive comments and suggestions that have led to this improved version of the paper. This work was supported in part by the Young Creative Talents Project from Department of Education of Guangdong Province (No. 2016KQNCX064) and Project of Enhancing School with Innovation of Guangdong Ocean University (No. GDOU2017052802).
语种:英文
外文关键词:Software quality evaluation; Interval data; Hybrid information; Normalized projection measure; Group decision-making; TOPSIS technique
外文摘要:Software quality is very significant for achieving competitiveness in the software industry. It is capable of determining the success or failure of a software product. How to assess the software quality is an important research topic. At present there are just a few studies that focus on the user needs or expectations from a quality perspective. The aim of this study is to develop a new approach to evaluate software quality from the user's point of view. First, a new normalized projection measure is established. Then, an evaluation model and related algorithm are developed in a group decision-making setting. The evaluation model is based on the new projection measure and TOPSIS (technique for order preference by similarity to ideal solution) technique. The attribute values are characterized by the hybrid information, including exact values and interval data. Finally, the applicability and feasibility of proposed method are shown by an experimental analysis.
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