摘要
现有软件质量评估模型主要关注软件系统的基本质量特性,缺乏考虑顾客价值特性和开发商组织管理特性,不能全面和科学地评估软件系统质量.文章以贝叶斯网络刻画了广义质量特性变量间复杂依赖关系,构建了更有针对性的软件质量量化评估模型.应用实例表明,该模型能综合考虑软件系统广义质量特性,对软件质量作出合理评价,并能依据贝叶斯网络的反向推理功能找到影响软件质量的关键因素.
Existing software quality assessment models mainly focus on the basic quality characteristics of software systems,and ignore characteristics of customer value and developer organization.Therefore,these models can not evaluate the quality of software systems comprehensively and scientifically.This study characterizes the complex dependence relationships among generalized quality variables by Bayesian network,and constructs a more targeted quantitative model for software quality evaluation.The application shows that the model can comprehensively assess the generalized quality characteristics,make a reasonable evaluation of software quality,and find out the key factors affecting software quality based on the reverse reasoning function of Bayesian network.
作者
涂俊翔
邸亮
李志伟
TU Jun-Xiang;DI Liang;LI Zhi-Wei(College of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)
出处
《计算机系统应用》
2019年第4期242-246,共5页
Computer Systems & Applications
基金
福州市科技局项目(2017-G-71)~~
关键词
软件质量评估
量化模型
贝叶斯网络
贝叶斯推理
广义质量特性
software quality assessment
quantitative model
Bayesian network
Bayesian inference
generalized quality characteristics
