统计过程控制方法在软件测试过程分析中的应用

软件测试过程是软件生命周期过程的一个重要组成部分,测试工作的好坏对软件产品的整体质量有直接的影响。文章通过使用统计过程控制方法对一个典型软件测试过程的分析,指出了测试过程、开发过程和质量监控工具中存在的问题及其改进的方向。     

基于统计过程控制的软件过程管理

真正有效管理软件过程的关键是定量管理。统计过程控制是判断软件过程是否异常,预测过程未来行为的重要工具。把统计过程控制技术融合到软件开发过程中,可以实现对软件过程的定量管理,也有助于组织更快地实现CMMI 4/5目标。     

基于Labview开发统计过程控制软件

统计过程控制是质量管理的重要内容,介绍了SPC的原理,并用Labview软件实现了SPC软件.这种开发方法应用了Labview软件提供的统计过程控制模块,方便了程序的开发,很容易被质量人员掌握,设备改动或软件应用于别的设备时,只需简单地修改参数,大大方便了统计过程控制的普及,提高企业的质量水平.     

统计过程控制(SPC)软件的设计

文章在分析了不同生产过程的关键质量特性的基础上设计了相应的数据文件类型。介绍了不同生产过程的统计分析技术与过程控制方法。最后重点介绍了作者开发的中文统计过程控制软件。     

统计过程控制在软件工程中的应用

统计过程控制已经在制造业取得了成功的应用，近年在软件工程方面的应用也不断上升。本文通过分析这些指标数据，找出软件过程中各个阶段的不确定因素，并采取适当措施来保证软件过程处于统计意义下的受控状态，从而达到保证软件质量、提高软件生产效率的目的。     

基于统计过程控制个体软件过程缺陷的预测与分析

首先对缺陷预测的前期工作程序规模的估计进行了讨论,然后重点讲解了缺陷的类型及缺陷记录日志在缺陷管理中的使用,最后对缺陷的预测与分析进行了研究。     

spc技术在软件过程监控中的应用探讨

统计过程控制(SPC)是质量管理的重要内容。该文在介绍软件过程质量管理的相关理论基础上,主要探讨了SPC特别是控制图在软件过程监控中的应用,并简单讨论软件过程改进的SPC方法。     

过程控制实验监控软件的开发

介绍了过程控制实验系统,给出了用C Builder5开发监控软件的设计过程。该实验系统可以实现过程控制的中的5种典型控制方式-单回路控制、串级控制、前馈控制、均匀控制和比值控制。     

基于统计过程控制-COQUALMO的软件测试过程研究

由于软件测试过程的不稳定性给项目管理带来极大风险,根据SPE统计思想,把COQUALMO模型作为预期值的估算模型,引入SPE—COQUALMO控制图,对软件测试过程中对引入缺陷种类和数量进行监控,为项目经理在管理项目中提供客观数据进行决策。     

轴承统计过程控制的研究及软件编制

统计过程控制（SPC）是指应用统计分析技术对生产过程进行实时监控,区分出生产过程中产品质量的异常波动,以便管理人员及时采取措施,消除异常,达到提高和控制质量的目的。针对SPC的实际应用研究,SPC的软件编制阐述了统计过程控制原理,提出相关数学模型,对其模拟软件的设计进行了研究分析,并对相关的内容作了进一步的讨论。在理论知识的基础上采用高级编程语言进行软件编制,实现具有一定实用性的软件应用系统。     

软件使用统计测试方法的研究

软件开发实践表明,传统软件统计测试方法在提高软件可靠性和度量软件质量方面显现很多不足,阐述了一种改进的基于Markov链模型的软件统计测试方法的技术细节和实施步骤,用此方法对某控制软件的测试进行了具体的研究,对实例软件运用此方法进行测试提出了一个框架方案.实例验证表明,软件使用统计测试方法能够更加经济有效地保障软件质量.     

贝叶斯网络技术在软件测试过程中的应用研究

为使软件测试管理者准确定义并把握软件测试过程中存在大量复杂的相互依赖、相互影响的关系,通过对有经验的测试人员在软件测试过程中的主观判断和从以往客观数据抽象出来的关系进行分析,用贝叶斯网络技术对其建模,并对模型中的关系量化,从而可以利用模型辅助测试过程进行管理,包括进行计划、决策和对软件产品的质量进行预测等.     

A review of neural networks for statistical process control

This paper aims to take stock of the recent research literature on application of Neural Networks (NNs) to the analysis of Shewhart's traditional Statistical Process Control (SPC) charts. First appearing in the late 1980s, most of the literature claims success, great or small, in applying NNs for SPC (NNSPC). These efforts are viewed in this paper as useful steps towards automatic on-line SPC for continuous improvement of quality and for real-time manufacturing process control. A standard NN approach that can parallel the universality of the traditional Shewhart charts has not yet been developed or adopted, although knowledge in this area is rapidly increasing. This paper attempts to provide a practical insight into the issues involved in application of NNs to SPC with the hope of advancing the use of NN techniques and facilitating their adoption as a new and useful aspect of SPC. First, a brief review of control chart analysis prior to the introduction of NN technology is presented. This is followed by an examination and classification of the NNSPC existing literature. Next, an extensive discussion of implementation issues with reference to significant research papers is presented. Finally, after summarising the survey, a set of general guidelines for future applications of NNs to SPC is outlined.     

Automated policy generation for testing access control software

Access control systems (ACS) are a critical component of modern information technology systems and require rigorous testing. If the ACS has defects, then the deployment is not secure and is a threat to system security. Firewalls are an important example of an ACS, and formally verifying firewall systems has recently attracted attention. We present an automated software-testing tool, PG, for the production of firewall policies for use in firewall policy enforcement testing. PG utilizes a number of heuristic techniques to improve space coverage over traditional systems based on randomly generated firewall policies. An empirical study is presented demonstrating that PG generates firewall policies with superior coverage compared to traditional policy-generation techniques. The extension of PG beyond firewall systems to other ACS situations is outlined.     

Improvement of causal analysis using multivariate statistical process control

Statistical process control (SPC) is a conventional means of monitoring software processes and detecting related problems, where the causes of detected problems can be identified using causal analysis. Determining the actual causes of reported problems requires significant effort due to the large number of possible causes. This study presents an approach to detect problems and identify the causes of problems using multivariate SPC. This proposed method can be applied to monitor multiple measures of software process simultaneously. The measures which are detected as the major impacts to the out-of-control signals can be used to identify the causes where the partial least squares (PLS) and statistical hypothesis testing are utilized to validate the identified causes of problems in this study. The main advantage of the proposed approach is that the correlated indices can be monitored simultaneously to facilitate the causal analysis of a software process.

嵌入式软件仿真测试环境实时数据处理研究

分布式仿真测试环境是对嵌入式软件进行测试行之有效的手段.大量测试数据在仿真模型之间的实时通讯、收集和分布节点之间的传输是分布式仿真测试环境的设计难点.提出了一种实时数据处理的层次设计,应用代理模式和批处理双缓存区模式,解决了分布式仿真测试环境实时数据处理的关键技术,据此设计和实现的分布式仿真测试环境产品已成功应用于型号软件系统测试工程中.     

Dynamic multivariate statistical process control using subspace identification

In this article, the monitoring of continuous processes using linear dynamic models is presented. It is outlined that dynamic extensions to conventional multivariate statistical process control (MSPC) models may lead to the inclusion of large numbers of variables in the condition monitor. To prevent this, a new dynamic monitoring scheme, based on subspace identification, is introduced, which can (1) determine a set of state variables for describing process dynamics, (2) produce a reduced set of variables to monitor process performance and (3) offer contribution charts to diagnose anomalous behaviour. This is demonstrated by an application study to a realistic simulation of a chemical process.     

基于Web的软件测试过程管理平台的分析与设计

阐述了一个中小型领域软件企业软件测试过程管理平台分析和设计过程.该平台基于Web技术,采用B/S结构构建,在Intranet/Internet环境下使用.以注重和改善测试过程管理中测试计划与风险管理、测试评审与缺陷跟踪、用户反馈和测试总结4个环节为目标,设计了一个的测试业务流程,实现了系统登录、系统配置管理、测试计划管理、测试用例管理、测试日志管理、测试报告管理、测试汇总管理和测试文档管理等功能.     

一种基于改进设计性能指标的模型预测控制器性能监控方法

受随机噪声的影响,传统的设计性能指标是一个自相关的随机变量,传统的统计过程控制方法无法对其进行有效的监控。针对此问题,本文提出一种基于改进设计性能指标的模型预测控制器性能监控方法。为了对控制系统一段时间内的整体性能做出有效评价,首先将性能指标转化为平均形式,建立该性能指标的时间序列模型并对其进行预测,对预测误差进行统计过程控制,包括对预测残差及其累积和的监控,实现了对控制系统总体性能的实时评价。当检测出控制系统性能出现下降时,通过基于距离的判别分析方法快速定位性能下降源。在Wood-berry塔上的仿真研究验证了方法的可行性与有效性。     

A New Challenge for Applying Time Series Metrics Data to Software Quality Estimation

In typical software development, a software reliability growth model (SRGM) is applied in each testing activity to determine the time to finish the testing. However, there are some cases in which the SRGM does not work correctly. That is, the SRGM sometimes mistakes quality for poor quality products. In order to tackle this problem, we focussed on the trend of time series data of software defects among successive testing phases and tried to estimate software quality using the trend. First, we investigate the characteristics of the time series data on the detected faults by observing the change of the number of detected faults. Using the rank correlation coefficient, the data are classified into four kinds of trends. Next, with the intention of estimating software quality, we investigate the relationship between the trends of the time series data and software quality. Here, software quality is defined by the number of faults detected during six months after shipment. Finally, we find a relationship between the trends and metrics data collected in the software design phase. Using logistic regression, we statistically show that two review metrics in the design and coding phase can determine the trend. Sousuke Amasakireceived the B.E. degree in Information and Computer Sciences from Okayama Prefectural University, Japan, in 2000 and the M.E. degree in Information and Computer Sciences from Graduate School of Information Science and Technology, Osaka University, Japan, in 2003. He has been in Ph.D. course of Graduate School of Information Science and Technology at Osaka University. His interests include the software process and the software quality assurance technique. He is a student member of IEEE and ACM. Takashi Yoshitomireceived the B.E. degree in Information and Computer Sciences from Osaka University, Japan, in 2002. He has been working for Hitachi Software Engineering Co., Ltd. Osamu Mizunoreceived the B.E., M.E., and Ph.D. degrees in Information and Computer Sciences from Osaka University, Japan, in 1996, 1998, and 2001, respectively. He is an Assistant Professor of the Graduate School of Information Science and Technology at Osaka University. His research interests include the improvement technique of the software process and the software risk management technique. He is a member of IEEE. Yasunari Takagireceived the B.E. degree in Information and Computer Science, from Nagoya Institute of Technology, Japan, in 1985. He has been working for OMRON Corporation. He has been also in Ph.D. course of Graduate School of Information Science and Technology at Osaka University since 2002. Tohru Kikunoreceived the B.E., M.Sc., and Ph.D. degrees in Electrical Engineering from Osaka University, Japan, in 1970, 1972, and 1975, respectively. He joined Hiroshima University from 1975 to 1987. Since 1990, he has been a Professor of the Department of Information and Computer Sciences at Osaka University. His research interests include the analysis and design of fault-tolerant systems, the quantitative evaluation of software development processes, and the design of procedures for testing communication protocols. He is a member of IEEE and ACM.