登录    注册    忘记密码    使用帮助

详细信息

A golden section-based group decision-making approach to software trustworthiness evaluation  ( EI收录)  

文献类型:期刊文献

英文题名:A golden section-based group decision-making approach to software trustworthiness evaluation

作者:Yue, Chuan[1]

机构:[1] College of Mathematics and Computer Science, Guangdong Ocean University, Haida road, Guangdong, Zhanjiang, 524088, China

年份:2025

卷号:29

期号:6

起止页码:2595

外文期刊名:Soft Computing

收录:EI(收录号:20251918361789)、Scopus(收录号:2-s2.0-105004187177)

语种:英文

外文关键词:Decision making - Groupware - Software quality - Software testing

外文摘要:Software trustworthiness evaluation is a multi-dimensional evaluation problem, which can be accurately evaluated according to decision science. Group decision-making method is a comprehensive method for handing the multi-dimensional evaluation problems. VlseKriterijumska Optimizacija I Kompromisno Resenje technique has been widely used in decision science. In this work, a novel group decision-making method for software trustworthiness evaluation is provided. An ideal data center is established according to golden section in order to quantify the quality of decision data. A golden section-entropy-based method is introduced in order to determine the weight of decision-maker. A new normalization-projection measure is developed in order to test the closeness between evaluation matrix and reference matrix in software evaluation process. Two specific regret matrices are provided in new VlseKriterijumska Optimizacija I Kompromisno Resenje method. A comprehensive group decision-making method is provided and applied to software trustworthiness evaluation. A new ranking method under a static environment and a new ranking method in a dynamic environment are provided in this work. The feasibility and practicability developed method are illustrated by an experimental analysis. The experimental results confirm that the proposed method produces a stable ranking of alternatives, with over 85% agreement in the dynamic experimental cases. ? The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

参考文献:

正在载入数据...

版权所有©广东海洋大学 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心