文献类型：期刊文献

中文题名：基于群决策和投影测度的软件质量评价模型

英文题名：Evaluation model of software quality based on group decision-making and projection measure

作者：岳川[1];张健[1]

机构：[1]广东海洋大学数学与计算机学院

年份：2020

卷号：40

期号：1

起止页码：218

中文期刊名：计算机应用

外文期刊名：Journal of Computer Applications

收录：CSTPCD、、北大核心2017、CSCD_E2019_2020、北大核心、CSCD

基金：广东省教育厅青年创新人才项目(自然)(2016KQNCX064);广东海洋大学创新强校工程项目(GDOU2017052501);广东海洋大学数学与计算机学院软件工程教学团队项目;广东海洋大学数学与计算机学院专业核心课培育项目(571119134);广东海洋大学2019教学改革项目(570219088)~~

语种：中文

中文关键词：软件质量;评价方法;群决策;标准化投影;TOPSIS技术

外文关键词：software quality;evaluation method;group decision-making;normalized projection;Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) technique

中文摘要：传统的软件质量评价方法缺少对用户需求的关注,针对这一问题,提出了一种基于用户群体决策的软件质量综合评价模型。首先,这个研究发现,在实数和区间向量空间上,目前的投影测度存在一定的缺陷,为此给出了一个新的标准化投影测度。该模型能综合测度2个向量或矩阵的接近程度,并且允许评价矩阵带有含混的决策信息;其次,将新的投影测度融合在一种改进的TOPSIS技术之中。在此基础上,建立了一个带有实数和区间含混信息的新的群决策方法,并给出算法的伪代码。最后,将该方法应用到软件质量的评价中。该方法侧重于软件用户的需求,综合了用户的群体评价信息,且通过一个软件质量综合评价的实例和实验分析,验证了该方法的有效性和可行性。

外文摘要：The traditional software evaluation methods are lack of consideration for user requirements. For this problem, an evaluation model of software quality based on user group decision-making was proposed. Firstly, it is found that the existing projection measure is not always reasonable in real number and interval vector spaces. Therefore, a new normalized projection measure was proposed to comprehensively measure the proximity between two vectors or matrices and the measure allows the evaluation matrix with hybrid decision-making information. Secondly, the new projection measure was fused in the improved Technique for Order Performance by Similarity to Ideal Solution(TOPSIS) technique. On this basis, a new group decision-making model with hybrid information of real number and interval was developed. And the pseudocode of algorithm was provided. Finally, the new model was applied to software quality evaluation. The requirements of software users were focused and the evaluation information of users group was synthesized in this method. The effectiveness and feasibility of the proposed method were illustrated by a practical example of software quality comprehensive evaluation and the experimental analysis.