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一种基于SPC的软件过程质量分析方法
引用本文:龚波,何新贵. 一种基于SPC的软件过程质量分析方法[J]. 计算机工程与设计, 2005, 26(7): 1793-1796
作者姓名:龚波  何新贵
作者单位:北京航空航天大学,计算机学院,北京,100840;装备指挥技术学院,北京,101416;北京大学,信息科学技术学院,北京,100871
摘    要:
一个项目的开发活动是很多软件过程的集合,不同软件过程之间关联性很强,成功地分析特定软件过程质量的关键是确保软件过程分析的独立性,剔除来自于其他过程的影响。传统Shewhart控制图基于统计假设检验理论,能够区分软件过程中的偶然因素和系统因素,但Shewhart控制图是全控图,无法区分过程之间的影响。为解决这种问题,定义软件过程的总质量和分质量,把系统因素细分为外部系统因素和内部系统因素,并总结软件过程质量诊断表,以使用控制图和选控图来帮助诊断导致软件过程质量异常的偏差源。

关 键 词:统计过程控制  控制图  软件过程
文章编号:1000-7024(2005)07-1793-04
收稿时间:2005-01-10
修稿时间:2005-01-10

Software process quality analysis method based on SPC
Gong Bo,HE Xin-gui. Software process quality analysis method based on SPC[J]. Computer Engineering and Design, 2005, 26(7): 1793-1796
Authors:Gong Bo  HE Xin-gui
Abstract:
Software development consists of many related software processes; the key of successfully analyzing the quality factors of aspecific software process is to eliminatethe effects from other processes. Traditional shewhart control charts can only distinguish commoncauses from assignable causes, but it can't be used to identify assignable causes from other processes. Total quality and partial qualityof software development processes were defined. The assignable causes were divided into process-inner assignable causes and process-outer assignable causes, and shewhart control charts and select cause control charts were used to identify variation sources that result insoftware process variation. A diagnosis table was summarized that helps to resolve every variation scenario of software process quality.
Keywords:statistical process control   control charts   software processes
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