基于OTT策略的组合测试用例优先级排序方法

在组合测试用例优先级排序问题中,通常采用组合覆盖率为排序标准,该方法能够尽快满足覆盖率的要求,但其排序影响因子较为单一,缺陷检测能力不稳定。针对此问题,该文结合One-Test-at-a-Time（OTT）策略提出了一种在线调整的组合测试用例优先级排序方法,引入多重待覆盖率、测试用例失效率和测试用例重要程度3个影响因子用于衡量组合测试用例优先级。根据测试用例的在线测试反馈信息,该方法能够实时调整组合测试用例的优先级,增加了优先级排序的准确性。实验结果表明,相较于original、基于单一覆盖和多重覆盖的组合测试优先级排序方法,该方法在缺陷检测能力和稳定性上具有更强的竞争力。     

多目标优化的测试用例优先级在线调整策略

从需求的角度对测试用例的优先级进行排序,定义了一个多目标的测试用例优化排序问题,引入关注需求覆盖率、测试用例重要度和测试用例失效率这3个测试用例优先级影响因子,分别定义权重因子α,β,γ用于权衡3个因子.设计了关注需求覆盖率和测试用例失效率的在线估计方法及算法,在此基础上,设计了一种基于多目标优化的测试用例优先级在线调整策略,该策略可利用测试过程中收集到的反馈信息,对测试用例优先级进行在线调整,实现在尽早达到测试覆盖率标准的同时,尽早覆盖重要的和具有较高失效率的测试需求,从而解决尽早检测到更多的、严重等级较高的软件缺陷这一多目标测试用例优化问题.实验结果表明:与随机测试、传统的单目标优先级排序方法和确定性排序方法相比,所提出的策略能够在更短的时间内完成同等质量的软件测试,从而提高了测试效率.     

基于函数调用路径的测试用例优先级排序

基于覆盖的优先级排序技术通常以代码覆盖信息作为测试用例的特征加以度量,忽略了其他优先级的影响因素,缺乏全面性和动态性。针对该问题,提出基于函数调用路径的测试用例优先级排序方法。以函数调用路径为基础,通过对源代码新旧版本的对比,分析回归测试影响域,确定回归测试用例集的范围。将测试用例函数调用路径覆盖能力、单元测试时函数中检测出缺陷的个数,以及函数的扇入系数等影响因素应用于优先级排序,确定测试用例优先级量化方法,并在测试执行过程中,通过调整算法实现优先级的动态调整,优化优先级排序。实验结果表明,优先级量化方法能提高测试的缺陷检测率,发现程序中的缺陷,降低测试成本。     

基于需求的测试用例优先级排序

为提高软件测试用例执行效率,研究了测试用例优先级排序技术,提出了基于需求的测试用例优先级排序及动态调整算法.基于需求的测试用例优先级排序将与软件需求相关的影响因素应用于测试用例的排序,并且在测试执行过程中可以通过调整算法对测试用例的优先级进行动态调整.实验结果表明,采用基于需求的测试用例优先级排序可以提高软件缺陷检测率...     

基于函数调用路径的回归测试用例选择排序方法研究

针对在回归测试过程中,因为不断修复软件中存在的缺陷所造成的测试工作量大、测试效率低等问题,论文将测试用例选择与优先级排序技术相结合,以面向函数调用的路径覆盖生成方法为基础,提出了一种面向函数调用路径（Functions Calling Path, FCP）的测试用例选择与排序方法。首先根据函数调用关系图,对程序中被修改函数与其他函数的关联性进行分析,从初始测试用例集中选择测试用例,形成回归测试用例集;然后对这些测试用例进行优先级排序,并动态地调整优先级排序结果;最后,对优先级排序结果进行再次选择,确定最小的回归测试用例集。实验结果表明,测试用例选择与排序方法对优化回归测试用例是有效的,大大减少了回归测试用例数量,降低了回归测试成本。     

基于历史信息的自适应测试用例优先级技术

在软件迭代开发的过程中,测试用例优先级技术因能有效地提高回归测试的效率,降低时间开销和人力成本,受到研究者的广泛关注,许多优化方法相继被提出。但是目前的研究多倾向于以需求和覆盖率作为排序准则,并且是一种静态排序。为此,提出一种基于历史信息的测试用例优先级技术,并在测试用例的执行过程中动态自适应地调整测试用例的优先级,以尽可能早地发现缺陷,达到预期的检错目标。在课题组开发的项目中运用该方法,验证了该方法的有效性。     

基于定值-引用链的测试用例优先级排序算法

测试用例优先级排序作为一种高效实用的回归测试技术,通常以测试用例的覆盖度作为优先级排序的量化指标,忽略了测试用例的其他测试性能。针对该问题,提出一种基于DU链的测试用例优先级排序算法。该算法 综合考虑 测试用例的DU链覆盖度和回归测试的错误检测能力,对测试用例优先级进行量化。与已有算法相比,该算法基于数据流覆盖,充分利用了测试执行的历史信息和程序模块的耦合信息,在排序过程中动态计算测试用例的优先级量化值。实验结果表明,采用优先级排序算法的测试用例集能在测试过程中以较短的时间发现更多的错误,有效地提高了回归测试的检错效率。     

用于黑盒测试的测试用例优先级改进算法

为了在源代码不可见的黑盒环境下提高软件测试效率,研究了通过调整测试用例执行顺序的测试用例优先级方法在黑盒测试中的应用.针对已有的用于黑盒测试优先级方法的不足,提出了改进的基于黑盒测试的优先级方法.以提高错误检测率为目标,该方法通过结合两种用于不同情况下的优先级调整策略和使用动态方法代替静态方法生成优先级步调调整值对原方法提出了两处改进.仿真实验结果表明,该算法有效且可行,两处改进均能有效地提高测试集的错误检测率,同时使用改进效果尤为明显.     

基于改进遗传算法的回归测试用例优先级排序

由于优先级排序测试效果较差、执行效率低,为此提出基于改进遗传算法的回归测试用例优先级排序方法.通过自然选择与遗传理论作为基本条件,结合群体中染色体任意信息交换机制和生物进化过程内适者生存规则,完成遗传算法,接着引入禁忌搜索方法,增强排序的局部超强搜索能力,然后在回归测试的过程内,利用多个目标函数对回归测试用例优先级排序以及评价,完成回归测试用例优先级排序.实验结果表明,经过时间以及覆盖的角度考察,执行时间较短,平均分支较大,说明该序列优良,本文方法的回归测试效果较好,执行效率高.     

测试用例优先级排序技术研究

测试用例的优化技术是软件测试的重要组成部分,其目的是将测试用例按照设定的规则进行排序,以便对测试效率有所提高。介绍了其背景和基本概念,从初始测试用例的优先级排序及回归测试的测试用例优先级排序进行概述,比较了各种优先级技术所适用的测试环境和优点,指出了测试用例优化技术的一些缺点和未来的发展方向。     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

法律信息库系统

本文分析了法律数据库的结构和特点，介绍了采用面向对象设计方法和超文本数据库技术开发和实现法律信息库系统将作为重要网络资源之一为不同用户进行法律咨询服务。     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

International Journal of Automation and Computing Table of Contents

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Information for authors

正SCIENCE CHINA Information Sciences(Sci China Inf Sci),cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China,and published by Science China Press,is committed to publishing highquality,original results of both basic and applied research in all areas of information sciences,including computer science and technology;systems science,control science and engineering(published in Issues with odd numbers);information and communication engineering;electronic science and technology(published in Issues with even numbers).Sci China Inf Sci is published monthly in both print and electronic forms.It is indexed by Academic OneFile,Astrophysics Data System(ADS),CSA,Cabells,Current Contents/Engineering,Computing and Technology,DBLP,Digital Mathematics Registry,Earthquake Engineering Abstracts,Engineering Index,Engineered Materials Abstracts,Gale,Google,INSPEC,Journal Citation Reports/Science Edition,Mathematical Reviews,OCLC,ProQuest,SCOPUS,Science Citation Index Expanded,Summon by Serial Solutions,VINITI,Zentralblatt MATH.     

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

正Erratum to:J Zhejiang Univ-Sci C(ComputElectron)2014 15(7):551-563doi:10.1631/jzus.C1300320The original version of this article unfortunately contained mistakes.Algorithm 6 should be as follows:Algorithm 6 FGKFCM-F clustering Input:(1)X={x_1,x_2,…,x_N},,x_iR~d,i=1,2,…,N,the dataset;(2)C,1C≤N,the number of clusters;(3)ε0,the stopping criterion;     

Journal of Zhejiang University-SCIENCE C (Computers & Electronics) Total contents

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A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.