外文翻译---软件测试策略
计算机外文资料翻译---Visual Basic简介
毕业设计(论文)外文资料翻译系(院):计算机科学系专业:计算机科学与技术姓名:学号: 111001203外文出处:Learn Visual Basic in 24 hours--Hour 1 Visual Basic at Work 附件:1.外文资料翻译译文;2.外文原文。
附件1:外文资料翻译译文Visual Basic简介什么是Visual BasicMicrosoft Visual Basic 5.0是旧的BASIC语言最近的最好的化身,在一个包里给你一个完全的Windows应用开发系统。
Visual Basic (我们常称它VB)能让你写、编辑,并且测试Windows应用程序。
另外,VB有包括你能用来写并且编译帮助文件那的工具,ActiveX控制,并且甚至因特网应用程序Visual Basic是它本身的一个Windows应用程序。
你装载并且执行VB系统就好象你做其它Windows程序。
你将使用这个运行的VB程序创造另外的程序。
虽然VB是一个非常地有用的工具,但VB只是一个程序员(写程序的人)用来写,测试,并且运行Windows应用程序的工具。
尽管程序员们经常可替交地使用术语程序和应用程序,当你正在描述一个Windows 程序时术语应用程序似乎最适合,因为一个Windows程序由若干份代表性的文件组成。
这些文件以工程形式一起工作。
通过双击一个图标或由以Windows开始应用程序运行启动菜单用户从Windows加载并且运行工程产生最终的程序。
过去的45年与计算机硬件一起的编程工具的角色已经演变。
今天一种程序语言,例如Visual Basic,一些年以前与程序语言的非常不一致。
Windows操作系统的视觉的天性要求比一些年以前是可利用的更先进的工具。
在windowed环境以前,一种程序语言是你用来写程序的一个简单的基于文章工具。
今天你需要的不只是一种语言,你需要一种能在windows系统内部工作并且能利用所有的绘画、多媒体、联机和Windows提供的多处理活动开发应用软件的绘图开发工具。
软件测试管理中英文对照外文翻译文献
中英文资料外文翻译基于价值的软件测试管理摘要:根据研究表明测试已经成为软件开发过程中一个很重要的环节,它占据了整个软件开发成本的百分之三十到五十。
测试通常不是用来组织商业价值的最大化,也不是肩负着项目的使命。
路径测试、分支测试、指导测试、变换测试、场景测试以及需求测试等对于软件的所有方面都是同等重要的。
然而在实践中百分之八十的价值往往来自百分之二十的软件。
为了从软件测试中得到最大的投资回报,测试管理需要最大化它的价值贡献。
在本章,我们将更加促进对基于价值的测试的需要,描述支持基于价值的测试管理的实践,勾画出基于价值的测试管理的框架,并举例说明该框架。
关键词: 基于价值的软件测试,基于价值的测试,测试成本,测试利益,测试管理11.1 前言测试是软件质量保证过程中最重要和最广泛使用的方法。
校验和验证旨在通过综合分析, 测试软件确保其正确运行功能,确保软件的质量和软件的可靠性。
在IEEE610.12(1990)中,测试被定义为在规定条件下对执行的系统或者组件进行观察和记录,并对系统或者组件进行评价的活动。
测试在实践过程中被广泛的使用,在保证质量策略的诸多组织中扮演着重要的角色。
软件影响着成千上万人的日常生活,担负着艰巨的任务。
因此软件在不久的将来将显得尤其的重要。
研究表明,测试通常消耗软件开发成本的30%至50%。
对于安全危急系统,甚至更高的比例也不足为奇。
因此软件测试具有挑战的就是寻找更多的有效途径进行有效的测试。
软件测试管理的价值在于努力减少测试成本和满足需求。
有价值的测试管理对于项目目标和商业价值也能有很好的向导。
在第一章,Boehm 列举了很多方面的潜在测试成本。
该例子说明了利用客户结账类型的7%的成本来完成50%的软件测试利益。
尽管百分百测试是一个不太切实际的目标, 然而通过调整测试方法, 仍有很大的空间来改进和节省达到预期的价值。
基于软件工程的价值动力在于目前软件工程的实践研究都是把需求, 测试案例, 测试对象和产品缺陷看的同等重要。
优秀翻译软件开发方案
优秀翻译软件开发方案在现代全球化的社会中,翻译软件的需求越来越大。
然而,传统的翻译软件往往存在着一些问题,比如精确度不高、上下文理解能力较差等。
为了解决这些问题,我们提出了一种全新的优秀翻译软件开发方案。
该方案的核心思想是结合人工智能和机器学习的技术,以提升翻译软件的质量和效果。
具体的开发步骤如下:1. 数据收集:我们将收集大量的多语种语料库,包括书籍、新闻文章、博客等。
这些语料将作为训练数据,用于机器学习模型的训练。
2. 数据预处理:为了提高翻译质量,我们将对收集到的语料进行预处理。
这包括词性标注、命名实体识别、语义分析等。
通过这些处理,我们的系统能够更好地理解原文的上下文和含义。
3. 机器学习模型训练:基于预处理后的语料,我们将使用深度学习技术训练翻译模型。
这些模型可以对输入的句子进行分析,并输出相应的翻译结果。
我们将采用序列到序列的模型架构,如循环神经网络(RNN)或者是变换器模型(Transformer),以优化我们的翻译质量。
4. 模型评估与调优:为了确保翻译质量和性能的稳定性,我们将对模型进行评估和调优。
这包括使用验证集对模型进行测试,并根据结果进行参数调整和优化。
5. 上线发布:经过反复的测试和调优后,我们将上线发布我们的翻译系统。
用户可以通过我们的平台或者是API接口使用我们的翻译服务。
此外,我们的方案还包括以下几个创新点:1. 上下文感知:我们的翻译模型将基于上下文信息进行翻译。
这意味着我们的系统能够更好地理解句子中的语义和语境。
例如,对于“bank”一词,我们的系统可以根据上下文判断是“银行”还是“河岸”。
2. 用户反馈机制:我们的系统将与用户进行互动,并收集用户的反馈数据。
通过分析用户反馈,我们可以进一步改进翻译质量,并修正翻译错误。
3. 领域适应:我们将根据不同的领域优化我们的翻译模型。
例如,对于法律、医学等特定领域,我们将收集专门的语料库,并训练定制化的翻译模型。
通过以上方案,我们相信我们的翻译软件能够具备更高的翻译质量和准确度。
软件测试的策略与技巧
软件测试的策略与技巧在软件开发过程中,软件测试是一个至关重要的环节。
通过系统地验证软件的功能、性能和稳定性,可以确保软件能够达到用户的期望,并以稳定可靠的方式运行。
为了提高测试的效率和质量,软件测试人员需要掌握一些策略与技巧。
本文将介绍几种常见的软件测试策略与技巧,并分析其适用场景和优缺点。
一、黑盒测试与白盒测试在软件测试中,常用的两种测试方法是黑盒测试和白盒测试。
黑盒测试是基于功能需求的测试方法,测试人员只关注软件的输入和输出,而不考虑内部实现细节。
白盒测试则是基于代码逻辑的测试方法,测试人员需要了解软件的内部结构和实现方式,并根据代码进行测试。
两者各有优劣,应根据具体情况选择使用。
1. 黑盒测试黑盒测试适用于测试人员对软件内部实现不了解或不关心的情况。
测试人员通过输入不同的数据和操作,验证软件的功能是否符合需求,并检查软件是否能够正确地处理异常情况。
黑盒测试可以覆盖软件的不同功能模块,同时也能够帮助发现一些潜在的性能和安全问题。
2. 白盒测试白盒测试适用于测试人员对软件内部实现非常了解的情况。
测试人员可以根据代码逻辑设计测试用例,并利用代码覆盖率工具评估测试的完整性。
白盒测试可以发现一些由于程序逻辑错误导致的问题,同时也可以提供较高的测试覆盖率。
然而,白盒测试需要测试人员具备一定的编程和调试能力,而且对代码的变动比较敏感,需要及时进行维护。
二、静态测试与动态测试除了根据测试方法的不同,软件测试还可以根据测试阶段的不同进行分类,其中比较常见的是静态测试和动态测试。
静态测试主要是在软件开发早期进行的,通过对文档和设计的分析,发现和修复问题。
动态测试则是在软件开发后期进行的,通过运行软件和验证功能来测试软件。
1. 静态测试静态测试主要包括需求分析、代码审查和静态分析等方法。
需求分析主要是对软件需求进行验证,确保需求的准确性和完整性。
代码审查是通过对代码的逐行检查和评估,发现和修复潜在的问题。
静态分析可以根据代码的可读性、复杂性和规范性等方面,评估代码的质量和可维护性。
软件测试部分中英文对照
Test design : 测试设计
Test driver : 测试驱动
Testing environment : 测试环境
Artifact : 工件
Automated Testing : 自动化测试
Architecture : 构架
Assertion checking : 断言检查 (10)
Audit : 审计
Application under test (AUT) : 所测试的应用程序
Hotfix : 热补丁
G11N(Globalization) : 全球化
Gap analysis : 差距分析
Garbage characters : 乱码字符
Glossary : 术语表
Glass-box testing : 白箱测试或白盒测试
GUI(Graphical User Interface) : 图形用户界面
Decision coverage : 判定覆盖
Debug : 调试
Defect : 缺陷
defect density : 缺陷密度 (60)
Deployment : 部署
Desk checking : 桌前检查
Blocking bug : 阻碍性错误
Bottom-up testing : 自底向上测试 (20)
Branch coverage : 分支覆盖
Brute force testing : 强力测试
Bug : 错误
Bug report : 错误报告
Load testing : 负载测试
Maintenance : 维护
软件测试中英文对照
Acceptance testing | 验收测试Acceptance Testing|可接受性测试Accessibility test |软体适用性测试actual outcome|实际结果Ad hoc testing | 随机测试Algorithm analysis |算法分析algorithm|算法Alpha testing | α测试analysis|分析anomaly|异常application software|应用软件Application under test (AUT)|所测试的应用程序Architecture |构架Artifact |工件ASQ|自动化软件质量(Automated Software Quality)Assertion checking |断言检查Association |关联Audit | 审计audit trail|审计跟踪Automated Testing|自动化测试Backus—Naur Form|BNF范式baseline|基线Basic Block|基本块basis test set|基本测试集Behaviour |行为Bench test | 基准测试benchmark|标杆/指标/基准Best practise |最佳实践Beta testing | β测试Black Box Testing|黑盒测试Blocking bug |阻碍性错误Bottom—up testing |自底向上测试boundary value coverage|边界值覆盖boundary value testing|边界值测试Boundary values |边界值Boundry Value Analysis|边界值分析branch condition combination coverage|分支条件组合覆盖branch condition combination testing|分支条件组合测试branch condition coverage|分支条件覆盖branch condition testing|分支条件测试branch condition|分支条件Branch coverage |分支覆盖branch outcome|分支结果branch point|分支点branch testing|分支测试branch|分支Breadth Testing|广度测试Brute force testing| 强力测试Buddy test | 合伙测试Buffer | 缓冲Bug |错误Bug bash | 错误大扫除bug fix | 错误修正Bug report |错误报告Bug tracking system|错误跟踪系统bug|缺陷Build | 工作版本(内部小版本)Build Verfication tests(BVTs)| 版本验证测试Build-in |内置Capability Maturity Model (CMM)| 能力成熟度模型Capability Maturity Model Integration (CMMI)|能力成熟度模型整合capture/playback tool|捕获/回放工具Capture/Replay Tool|捕获/回放工具CASE|计算机辅助软件工程(computer aided software engineering)CAST|计算机辅助测试cause—effect graph|因果图certification |证明change control|变更控制Change Management |变更管理Change Request |变更请求Character Set |字符集Check In |检入Check Out |检出Closeout |收尾code audit |代码审计Code coverage |代码覆盖Code Inspection|代码检视Code page | 代码页Code rule | 编码规范Code sytle |编码风格Code Walkthrough|代码走读code-based testing|基于代码的测试coding standards|编程规范Common sense | 常识Compatibility Testing|兼容性测试complete path testing |完全路径测试completeness|完整性complexity |复杂性Component testing |组件测试Component|组件computation data use|计算数据使用computer system security|计算机系统安全性Concurrency user |并发用户Condition coverage |条件覆盖condition coverage|条件覆盖condition outcome|条件结果condition|条件configuration control|配置控制Configuration item |配置项configuration management|配置管理Configuration testing | 配置测试conformance criterion| 一致性标准Conformance Testing|一致性测试consistency |一致性consistency checker|一致性检查器Control flow graph | 控制流程图control flow graph|控制流图control flow|控制流conversion testing|转换测试Core team |核心小组corrective maintenance|故障检修correctness |正确性coverage |覆盖率coverage item|覆盖项crash|崩溃criticality analysis|关键性分析criticality|关键性CRM(change request management)|变更需求管理Customer-focused mindset | 客户为中心的理念体系Cyclomatic complexity |圈复杂度data corruption|数据污染data definition C—use pair|数据定义C—use使用对data definition P-use coverage|数据定义P-use覆盖data definition P-use pair|数据定义P-use使用对data definition|数据定义data definition—use coverage|数据定义使用覆盖data definition-use pair |数据定义使用对data definition—use testing|数据定义使用测试data dictionary|数据字典Data Flow Analysis |数据流分析data flow analysis|数据流分析data flow coverage|数据流覆盖data flow diagram|数据流图data flow testing|数据流测试data integrity|数据完整性data use|数据使用data validation|数据确认dead code|死代码Debug |调试Debugging|调试Decision condition|判定条件Decision coverage | 判定覆盖decision coverage|判定覆盖decision outcome|判定结果decision table|判定表decision|判定Defect | 缺陷defect density |缺陷密度Defect Tracking |缺陷跟踪Deployment |部署Depth Testing|深度测试design for sustainability |可延续性的设计design of experiments|实验设计design—based testing|基于设计的测试Desk checking |桌前检查desk checking|桌面检查Determine Usage Model | 确定应用模型Determine Potential Risks | 确定潜在风险diagnostic|诊断DIF(decimation in frequency)|按频率抽取dirty testing|肮脏测试disaster recovery|灾难恢复DIT (decimation in time)| 按时间抽取documentation testing |文档测试domain testing|域测试domain|域DTP DETAIL TEST PLAN详细确认测试计划Dynamic analysis |动态分析dynamic analysis|动态分析Dynamic Testing|动态测试embedded software|嵌入式软件emulator|仿真End—to—End testing|端到端测试Enhanced Request |增强请求entity relationship diagram|实体关系图Encryption Source Code Base|加密算法源代码库Entry criteria | 准入条件entry point |入口点Envisioning Phase |构想阶段Equivalence class |等价类Equivalence Class|等价类equivalence partition coverage|等价划分覆盖Equivalence partition testing |等价划分测试equivalence partition testing|参考等价划分测试equivalence partition testing|等价划分测试Equivalence Partitioning|等价划分Error |错误Error guessing |错误猜测error seeding|错误播种/错误插值error|错误Event-driven | 事件驱动Exception handlers |异常处理器exception|异常/例外executable statement|可执行语句Exhaustive Testing|穷尽测试exit point|出口点expected outcome|期望结果Exploratory testing |探索性测试Failure | 失效Fault |故障fault|故障feasible path|可达路径feature testing|特性测试Field testing |现场测试FMEA|失效模型效果分析(Failure Modes and Effects Analysis)FMECA|失效模型效果关键性分析(Failure Modes and Effects Criticality Analysis) Framework |框架FTA|故障树分析(Fault Tree Analysis)functional decomposition|功能分解Functional Specification |功能规格说明书Functional testing |功能测试Functional Testing|功能测试G11N(Globalization) | 全球化Gap analysis |差距分析Garbage characters | 乱码字符glass box testing|玻璃盒测试Glass—box testing |白箱测试或白盒测试Glossary | 术语表GUI(Graphical User Interface)| 图形用户界面Hard—coding | 硬编码Hotfix | 热补丁I18N(Internationalization)| 国际化Identify Exploratory Tests –识别探索性测试IEEE|美国电子与电器工程师学会(Institute of Electrical and Electronic Engineers)Incident 事故Incremental testing | 渐增测试incremental testing|渐增测试infeasible path|不可达路径input domain|输入域Inspection |审查inspection|检视installability testing|可安装性测试Installing testing | 安装测试instrumentation|插装instrumenter|插装器Integration |集成Integration testing |集成测试interface | 接口interface analysis|接口分析interface testing|接口测试interface|接口invalid inputs|无效输入isolation testing|孤立测试Issue |问题Iteration | 迭代Iterative development|迭代开发job control language|工作控制语言Job|工作Key concepts |关键概念Key Process Area | 关键过程区域Keyword driven testing |关键字驱动测试Kick—off meeting |动会议L10N(Localization) |本地化Lag time | 延迟时间LCSAJ|线性代码顺序和跳转(Linear Code Sequence And Jump)LCSAJ coverage|LCSAJ覆盖LCSAJ testing|LCSAJ测试Lead time |前置时间Load testing | 负载测试Load Testing|负载测试Localizability testing| 本地化能力测试Localization testing |本地化测试logic analysis|逻辑分析logic—coverage testing|逻辑覆盖测试Maintainability |可维护性maintainability testing|可维护性测试Maintenance |维护Master project schedule |总体项目方案Measurement |度量Memory leak | 内存泄漏Migration testing |迁移测试Milestone |里程碑Mock up |模型,原型modified condition/decision coverage|修改条件/判定覆盖modified condition/decision testing |修改条件/判定测试modular decomposition|参考模块分解Module testing |模块测试Monkey testing | 跳跃式测试Monkey Testing|跳跃式测试mouse over|鼠标在对象之上mouse leave|鼠标离开对象MTBF|平均失效间隔实际(mean time between failures)MTP MAIN TEST PLAN主确认计划MTTF|平均失效时间 (mean time to failure)MTTR|平均修复时间(mean time to repair)multiple condition coverage|多条件覆盖mutation analysis|变体分析N/A(Not applicable) | 不适用的Negative Testing |逆向测试, 反向测试, 负面测试negative testing|参考负面测试Negative Testing|逆向测试/反向测试/负面测试off by one|缓冲溢出错误non—functional requirements testing|非功能需求测试nominal load|额定负载N-switch coverage|N切换覆盖N-switch testing|N切换测试N-transitions|N转换Off—the—shelf software | 套装软件operational testing|可操作性测试output domain|输出域paper audit|书面审计Pair Programming |成对编程partition testing|分类测试Path coverage | 路径覆盖path coverage|路径覆盖path sensitizing|路径敏感性path testing|路径测试path|路径Peer review |同行评审Performance | 性能Performance indicator|性能(绩效)指标Performance testing |性能测试Pilot |试验Pilot testing |引导测试Portability |可移植性portability testing|可移植性测试Positive testing |正向测试Postcondition |后置条件Precondition | 前提条件precondition|预置条件predicate data use|谓词数据使用predicate|谓词Priority | 优先权program instrumenter|程序插装progressive testing|递进测试Prototype |原型Pseudo code |伪代码pseudo-localization testing|伪本地化测试pseudo—random|伪随机QC|质量控制(quality control)Quality assurance(QA)| 质量保证Quality Control(QC) |质量控制Race Condition|竞争状态Rational Unified Process(以下简称RUP)|瑞理统一工艺Recovery testing |恢复测试recovery testing|恢复性测试Refactoring |重构regression analysis and testing|回归分析和测试Regression testing |回归测试Release |发布Release note |版本说明release|发布Reliability |可靠性reliability assessment|可靠性评价reliability|可靠性Requirements management tool|需求管理工具Requirements—based testing |基于需求的测试Return of Investment(ROI)|投资回报率review|评审Risk assessment |风险评估risk|风险Robustness | 强健性Root Cause Analysis(RCA)| 根本原因分析safety critical|严格的安全性safety|(生命)安全性Sanity testing | 健全测试Sanity Testing|理智测试Schema Repository | 模式库Screen shot |抓屏、截图SDP|软件开发计划(software development plan)Security testing | 安全性测试security testing|安全性测试security.|(信息)安全性serviceability testing|可服务性测试Severity | 严重性Shipment |发布simple subpath|简单子路径Simulation |模拟Simulator | 模拟器SLA(Service level agreement)|服务级别协议SLA|服务级别协议(service level agreement)Smoke testing |冒烟测试Software development plan(SDP)| 软件开发计划Software development process|软件开发过程software development process|软件开发过程software diversity|软件多样性software element|软件元素software engineering environment|软件工程环境software engineering|软件工程Software life cycle | 软件生命周期source code|源代码source statement|源语句Specification |规格说明书specified input|指定的输入spiral model |螺旋模型SQAP SOFTWARE QUALITY ASSURENCE PLAN 软件质量保证计划SQL|结构化查询语句(structured query language)Staged Delivery|分布交付方法state diagram|状态图state transition testing |状态转换测试state transition|状态转换state|状态Statement coverage |语句覆盖statement testing|语句测试statement|语句Static Analysis|静态分析Static Analyzer|静态分析器Static Testing|静态测试statistical testing|统计测试Stepwise refinement | 逐步优化storage testing|存储测试Stress Testing |压力测试structural coverage|结构化覆盖structural test case design|结构化测试用例设计structural testing|结构化测试structured basis testing|结构化的基础测试structured design|结构化设计structured programming|结构化编程structured walkthrough|结构化走读stub|桩sub-area|子域Summary| 总结SVVP SOFTWARE Vevification&Validation PLAN| 软件验证和确认计划symbolic evaluation|符号评价symbolic execution|参考符号执行symbolic execution|符号执行symbolic trace|符号轨迹Synchronization | 同步Syntax testing |语法分析system analysis|系统分析System design | 系统设计system integration|系统集成System Testing | 系统测试TC TEST CASE 测试用例TCS TEST CASE SPECIFICATION 测试用例规格说明TDS TEST DESIGN SPECIFICATION 测试设计规格说明书technical requirements testing|技术需求测试Test |测试test automation|测试自动化Test case | 测试用例test case design technique|测试用例设计技术test case suite|测试用例套test comparator|测试比较器test completion criterion|测试完成标准test coverage|测试覆盖Test design | 测试设计Test driver |测试驱动test environment|测试环境test execution technique|测试执行技术test execution|测试执行test generator|测试生成器test harness|测试用具Test infrastructure | 测试基础建设test log|测试日志test measurement technique|测试度量技术Test Metrics |测试度量test procedure|测试规程test records|测试记录test report|测试报告Test scenario | 测试场景Test Script|测试脚本Test Specification|测试规格Test strategy | 测试策略test suite|测试套Test target | 测试目标Test ware | 测试工具Testability | 可测试性testability|可测试性Testing bed | 测试平台Testing coverage |测试覆盖Testing environment | 测试环境Testing item |测试项Testing plan |测试计划Testing procedure | 测试过程Thread testing |线程测试time sharing|时间共享time—boxed |固定时间TIR test incident report 测试事故报告ToolTip|控件提示或说明top—down testing|自顶向下测试TPS TEST PEOCESS SPECIFICATION 测试步骤规格说明Traceability | 可跟踪性traceability analysis|跟踪性分析traceability matrix|跟踪矩阵Trade—off | 平衡transaction|事务/处理transaction volume|交易量transform analysis|事务分析trojan horse|特洛伊木马truth table|真值表TST TEST SUMMARY REPORT 测试总结报告Tune System | 调试系统TW TEST WARE |测试件Unit Testing |单元测试Usability Testing|可用性测试Usage scenario | 使用场景User acceptance Test |用户验收测试User database |用户数据库User interface(UI) | 用户界面User profile | 用户信息User scenario |用户场景V&V (Verification & Validation) | 验证&确认validation |确认verification |验证version |版本Virtual user | 虚拟用户volume testing|容量测试VSS(visual source safe)|VTP Verification TEST PLAN验证测试计划VTR Verification TEST REPORT验证测试报告Walkthrough | 走读Waterfall model | 瀑布模型Web testing | 网站测试White box testing |白盒测试Work breakdown structure (WBS) |任务分解结构Zero bug bounce (ZBB)|零错误反弹。
软件测试外文翻译--GUI自动化测试研究
附录1外文译文GUI自动化测试研究摘要:指出了目前自动化测试所采用的录制技术存在的不足,针对不断变化的图形用户界面测试代码很难维护和扩展的问题,采用基于对象的捕捉技术,设计了以Windows消息机制为基础的GU IATF测试框架,实现了高度灵活并易于扩展的图形用户界面自动化测试。
关键词:软件测试;回归测试;自动化0.引言测试是一种旨在评估一个程序或系统的属性或能力,确定它是否符合其所需结果的活动。
在整个软件开发过程中,从需求分析到系统设计直到代码实现,都会出现或多或少的问题。
如何保障软件的质量,软件测试就成为关键的技术。
软件测试的工作量很大并具有一定的重复性,尤其在测试后期所进行的回归测试中(回归测试在软件出现发展性的改变和修正性改变时运行),需要验证以前发现的问题在新版本中是否解决,大部分测试工作是重复的。
实现软件测试的自动化可以使大量的测试程序化地反复执行,不仅节约了大量的劳动力,而且提高了测试效率并保证了测试的质量。
1.录制技术的不足目前一些录制技术被应用到图形用户界面的自动化测试中,在软件开发周期中,系统需要不断地更新和维护,为了保证测试质量,测试代码对不断变化的系统要有很强的适应能力,换句话说,测试也同样需要维护。
测试脚本的录制过程是根据具体的界面和操作进行的,一旦脚本的执行界面发生改变,运行就会出现异常,甚至仅仅是被操作对象位置的改变或图像分辨率的改变都可能会造成图形用户界面自动化测试的失败,因此,基于录制技术的自动化测试维护的代价相当高。
另外,脚本录制的过程是固定的,所以脚本的运行会完全按照操作步骤,不具备灵活性。
2.自动化测试框架的提出在目前的软件测试中,一个备受关注的问题是如何高效地实现图形用户界面的自动化测试,并使测试代码具有很高的灵活性。
本文提出了一种基于对象捕捉技术的图形用户界面自动化测试框架GUIATF(Graphics User Interface Automation Testing Framework),为测试人员方便地创建并灵活地维护测试代码提供保证。
【计算机专业文献翻译】软件测试
附录2 英文文献及其翻译原文:Software testingThe chapter is about establishment of the system defects objectives according to test programs. You will understand the followings: testing techniques that are geared to discover program faults, guidelines for interface testing, specific approaches to object-oriented testing, and the principles of CASE tool support for testing. Topics covered include Defect testing, Integration testing, Object-oriented testing and Testing workbenches.The goal of defect testing is to discover defects in programs. A successful defect test is a test which causes a program to behave in an anomalous way. Tests show the presence not the absence of defects. Only exhaustive testing can show a program is free from defects. However, exhaustive testing is impossible.Tests should exercise a system's capabilities rather than its components. Testing old capabilities is more important than testing new capabilities. Testing typical situations is more important than boundary value cases.An approach to te sting where the program is considered as a ‘black-box’. The program test cases are based on the system specification. Test planning can begin early in the software process. Inputs causing anomalous behaviour. Outputs which reveal the presence of defects.Equivalence partitioning. Input data and output results often fall into different classes where all members of a class are related. Each of these classes is an equivalence partition where the program behaves in an equivalent way for each class member. Test cases should be chosen from each partition.Structural testing. Sometime it is called white-box testing. Derivation of test cases according to program structure. Knowledge of the program is used to identify additional test cases. Objective is to exercise all program statements, not all path combinations.Path testing. The objective of path testing is to ensure that the set of test cases is such that each path through the program is executed at least once. The starting point for path testing is a program flow graph that shows nodes representing program decisions and arcs representing the flow of control.Statements with conditions are therefore nodes in the flow graph. Describes the program control flow. Each branch is shown as a separate path and loops are shown by arrows looping back to the loop condition node. Used as a basis for computing the cyclomatic complexity.Cyclomatic complexity = Number of edges -Number of nodes +2The number of tests to test all control statements equals the cyclomatic complexity.Cyclomatic complexity equals number ofconditions in a program. Useful if used with care. Does not imply adequacy of testing. Although all paths are executed, all combinations of paths are not executed.Cyclomatic complexity: Test cases should be derived so that all of these paths are executed.A dynamic program analyser may be used to check that paths have been executed.Integration testing.Tests complete systems or subsystems composed of integrated components. Integration testing should be black-box testing with tests derived from the specification.Main difficulty is localising errors. Incremental integration testing reduces this problem. Tetsing approaches. Architectural validation. Top-down integration testing is better at discovering errors in the system architecture.System demonstration.Top-down integration testing allows a limited demonstration at an early stage in the development. Test observation: Problems with both approaches. Extra code may be required to observe tests. Takes place when modules or sub-systems are integrated to create larger systems. Objectives are to detect faults due to interface errors or invalid assumptions about interfaces. Particularly important for object-oriented development as objects are defined by their interfaces.A calling component calls another component and makes an error in its use of its interface e.g. parameters in the wrong order.Interface misunderstanding. A calling component embeds assumptions about the behaviour of the called component which are incorrectTiming errors: The called and the calling component operate at different speeds and out-of-date information is accessed.Interface testing guidelines: Design tests so that parameters to a called procedure are at the extreme ends of their ranges. Always test pointer parameters with null pointers. Design tests which cause the component to fail. Use stress testing in message passing systems. In shared memory systems, vary the order in which components are activated.Stress testingExercises the system beyond its maximum design load. Stressing the system often causes defects to come to light. Stressing the system test failure behaviour. Systems should not fail catastrophically. Stress testing checks for unacceptable loss of service or data. Particularly relevant to distributed systems which can exhibit severe degradation as a network becomes overloaded.The components to be tested are object classes that are instantiated as objects. Larger grain than individual functions so approaches to white-box testing have to be extended. No obvious ‘top’ to the system for top-down integration and testing. Object-oriented testing. Testing levels.Testing operations associated with objects.Testing object classes. Testing clusters of cooperating objects. Testing the complete OO systemObject class testing. Complete test coverage of a class involves. Testing all operations associated with an object. Setting and interrogating all object attributes. Exercising the object in all possible states.Inheritance makes it more difficult to design object class tests as the information to be tested is not localized. Weather station object interface. Test cases are needed for all e a state model toidentify state transiti.ons for testing.Object integration. Levels of integration are less distinct in objectoriented systems. Cluster testing is concerned with integrating and testing clusters of cooperating objects. Identify clusters using knowledge of the operation of objects and the system features that are implemented by these clusters. Testing is based on a user interactions with the system. Has the advantage that it tests system features as experienced byusers.Thread testing.Tests the systems response to events as processing threads through the system. Object interaction testing. Tests sequences of object interactions that stop when an object operation does not call on services from another objectScenario-based testing. Identify scenarios from use-cases and supplement these with interaction diagrams that show the objects involved in the scenario. Consider the scenario in the weather station system where a report is generated.Input of report request with associated acknowledge and a final output of a report. Can be tested by creating raw data and ensuring that it is summarised properly. Use the same raw data to test the WeatherData object.Testing workbenches.Testing is an expensive process phase. Testing workbenches provide a range of tools to reduce the time required and total testing costs. Most testing workbenches are open systems because testing needs are organisation-specific. Difficult to integrate with closed design and analysis workbenchesTetsing workbench adaptation. Scripts may be developed for user interface simulators and patterns for test data generators. Test outputs may have to be prepared manually for comparison. Special-purpose file comparators may be developed.Key points:Test parts of a system which are commonly used rather than those which are rarely executed. Equivalence partitions are sets of test cases where the program should behave in an equivalent way. Black-box testing is based on the system specification. Structural testing identifies test cases which cause all paths through the program to be executed.Test coverage measures ensure that all statements have been executed at least once. Interface defects arise because of specification misreading, misunderstanding, errors or invalid timing assumptions. To test object classes, test all operations, attributes and states.Integrate object-oriented systems around clusters of objects.译文:软件测试本章的目标是介绍通过测试程序发现程序中的缺陷的相关技术。
关于软件测试的外国文献
关于软件测试的外国文献软件测试是软件开发过程中至关重要的一环,而外国文献中关于软件测试的研究和实践也非常丰富。
下面我将从不同角度介绍一些相关的外国文献,以便更全面地了解软件测试的最新发展。
1. "Software Testing Techniques" by Boris Beizer:这本经典著作详细介绍了软件测试的各种技术和方法,包括黑盒测试、白盒测试、基于模型的测试等。
它提供了许多实用的指导和案例,对软件测试的理论和实践都有很深入的探讨。
2. "Testing Computer Software" by Cem Kaner, Jack Falk, and Hung Q. Nguyen:这本书介绍了软件测试的基础知识和常用技术,包括测试计划的编写、测试用例设计、缺陷管理等。
它强调了测试的全过程管理和质量保证,对于软件测试初学者来说是一本很好的入门指南。
3. "The Art of Software Testing" by Glenford J. Myers, Corey Sandler, and Tom Badgett:这本书从理论和实践的角度探讨了软件测试的艺术。
它介绍了测试的基本原则和策略,以及如何设计有效的测试用例和评估测试覆盖率。
这本书对于提高测试人员的思维和技巧非常有帮助。
4. "Foundations of Software Testing" by Aditya P. Mathur:这本书系统地介绍了软件测试的基本概念、技术和方法。
它涵盖了测试过程的各个阶段,包括需求分析、测试设计、执行和评估。
这本书还提供了丰富的案例和练习,帮助读者深入理解和应用软件测试的原理和技术。
5. "Software Testing: Principles and Practices" by Srinivasan Desikan and Gopalaswamy Ramesh:这本书介绍了软件测试的原则、实践和工具。
什么是RUP,什么是敏捷开发,什么是XP(极限编程)
什么是RUP,什么是敏捷开发,什么是XP(极限编程)1:什么是RUPRUP(Rational Unified Process)是IBM Rational software提出的软件⼯程实施过程,在业界经历了数千个软件项⽬的实践,是当前最为成功的软件⼯程⽅法论之⼀!RUP是⼀种迭代的、以架构为中⼼的、⽤例驱动的软件开发⽅法;RUP是⼀种具有明确定义和结构的软件⼯程过程,它明确规定了⼈员的职责、如何完成各项⼯作以及何时完成各项⼯作,以及软件开发⽣命周期的结构,定义了主要⾥程碑和决策的关系;RUP也是⼀个过程产品,提供了可定制的软件⼯程的过程框架,⽀持过程定制、过程创作和多种类型的开发过程,可通过装配过程产品得到过程配置。
RUP配置可以⽤于不同规模的开发团队和规范程度不同的开发⽅法,RUP产品包含过程配置和过程视图,以指导项⽬经理、开发⼈员、测试⼈员等⾓协作开发软件。
RUP的核⼼包含⼏个基本原理,它们⽀持应⽤迭代⽅法进⾏软件开发:尽早并且不断的化解重⼤风险确保满⾜客户的需求把注意⼒集中放到可执⾏的软件上尽早在项⽬中适应变化在早期确定⼀个可执⾏架构使⽤构件构造软件系统建⽴⾼效团结的开发团队始终重视质量从管理⾓度观察RUP,即业务和经济⽅⾯,对应项⽬的进展,软件⽣命周期包括四个阶段:起始阶段-构建最终产品的设想和业务案例,确定项⽬范围细化阶段-计划必要的活动和资源,详细确定功能并设计架构构建阶段-构建产品,直到⼀个可交付⽤户的产品完成移交阶段-产品交付⽤户,包括制造、交付、培训、⽀持、维护等从技术⾓度看,软件开发可视为⼀连串的迭代过程,通过迭代开发软件得以增量演进,每个迭代都以⼀个可执⾏的产品发布⽽结束,每次发布都伴随⽀持性⼯件:版本描述、⽤户⽂档等。
⼀次迭代可包括以下活动:计划、分析、设计、实现、测试,据其在开发周期的位置不同,所占⽐重也不同。
2:什么是敏捷过程敏捷⽅法是⼀种从1990年代开始逐渐引起⼴泛关注的⼀些新型软件开发⽅法,是⼀种应对快速变化的需求的⼀种软件开发能⼒。
软件测试外文翻译--GUI自动化测试研究
附录1外文译文GUI自动化测试研究摘要:指出了目前自动化测试所采用的录制技术存在的不足,针对不断变化的图形用户界面测试代码很难维护和扩展的问题,采用基于对象的捕捉技术,设计了以Windows消息机制为基础的GU IATF测试框架,实现了高度灵活并易于扩展的图形用户界面自动化测试。
关键词:软件测试;回归测试;自动化0.引言测试是一种旨在评估一个程序或系统的属性或能力,确定它是否符合其所需结果的活动。
在整个软件开发过程中,从需求分析到系统设计直到代码实现,都会出现或多或少的问题。
如何保障软件的质量,软件测试就成为关键的技术。
软件测试的工作量很大并具有一定的重复性,尤其在测试后期所进行的回归测试中(回归测试在软件出现发展性的改变和修正性改变时运行),需要验证以前发现的问题在新版本中是否解决,大部分测试工作是重复的。
实现软件测试的自动化可以使大量的测试程序化地反复执行,不仅节约了大量的劳动力,而且提高了测试效率并保证了测试的质量。
1.录制技术的不足目前一些录制技术被应用到图形用户界面的自动化测试中,在软件开发周期中,系统需要不断地更新和维护,为了保证测试质量,测试代码对不断变化的系统要有很强的适应能力,换句话说,测试也同样需要维护。
测试脚本的录制过程是根据具体的界面和操作进行的,一旦脚本的执行界面发生改变,运行就会出现异常,甚至仅仅是被操作对象位置的改变或图像分辨率的改变都可能会造成图形用户界面自动化测试的失败,因此,基于录制技术的自动化测试维护的代价相当高。
另外,脚本录制的过程是固定的,所以脚本的运行会完全按照操作步骤,不具备灵活性。
2.自动化测试框架的提出在目前的软件测试中,一个备受关注的问题是如何高效地实现图形用户界面的自动化测试,并使测试代码具有很高的灵活性。
本文提出了一种基于对象捕捉技术的图形用户界面自动化测试框架GUIATF(Graphics User Interface Automation Testing Framework),为测试人员方便地创建并灵活地维护测试代码提供保证。
本科生外文译文课程设计
本科生外文译文课程设计一、课程目标知识目标:1. 学生能够理解并掌握外文课文中的主要知识点,包括专业词汇、语法结构和文章组织。
2. 学生能够准确翻译外文课文,理解其深层含义,并能进行相关领域的知识拓展。
3. 学生能够对外文课文进行批判性阅读,分析文章的论证方式和逻辑结构。
技能目标:1. 学生能够运用所学翻译技巧,对外文课文进行准确、流畅的翻译。
2. 学生能够通过小组讨论、课堂展示等形式,提高自己的表达能力和团队合作能力。
3. 学生能够运用批判性思维,对外文课文进行深入分析,提高自己的思辨能力。
情感态度价值观目标:1. 学生能够增强对所学专业的兴趣和热情,培养自主学习的能力。
2. 学生能够尊重不同文化背景,培养跨文化交际的意识。
3. 学生能够通过外文译文的学习,拓宽国际视野,增强国家意识和责任感。
课程性质:本课程为专业选修课,旨在提高学生的外文翻译能力和跨文化交际能力。
学生特点:本科生已经具备一定的外语基础,但翻译技巧和批判性思维能力有待提高。
教学要求:教师应注重理论与实践相结合,充分调动学生的主观能动性,引导学生进行自主、合作、探究式学习。
同时,关注学生的个体差异,因材施教,提高课程教学效果。
通过本课程的学习,使学生达到上述课程目标,并为后续相关课程的学习打下坚实基础。
二、教学内容本课程教学内容主要包括以下几部分:1. 外文课文翻译基本技巧:包括词汇、语法、句型结构等方面的翻译方法,以及翻译过程中的常见问题与对策。
2. 外文课文分析与解读:对教材中的精选文章进行深度剖析,理解文章的论证方式、逻辑结构和作者观点。
3. 批判性阅读与思考:培养学生对外文课文进行批判性思考,分析文章的优点和不足,提高学生的思辨能力。
4. 跨文化交际能力培养:通过对比分析中外文化差异,提高学生在实际翻译中的跨文化交际能力。
教学内容安排如下:第一周:外文课文翻译基本技巧介绍与练习。
第二周:分析教材第一章文章,进行翻译实践和讨论。
软件测试策略和方法
软件测试策略和方法软件测试策略和方法是为了确保软件质量而制定的计划和行动方案。
下面是常见的软件测试策略和方法:1. 黑盒测试(Black Box Testing):根据软件的需求规格说明书,对软件功能进行测试,忽略内部的实现细节。
测试人员作为使用者,尝试各种输入和操作来验证软件的功能是否符合需求。
2. 白盒测试(White Box Testing):测试人员了解系统的内部结构和实现细节,根据代码逻辑进行测试。
测试人员通过覆盖率测试、路径测试等手段,验证软件是否能正确执行指定的功能。
3. 灰盒测试(Gray Box Testing):结合黑盒测试和白盒测试的特点,既考虑软件的需求规格,又考虑内部的实现细节。
测试人员根据需求规格进行测试,同时也可以参考代码逻辑来进行验证。
4. 功能测试(Functional Testing):验证软件的功能是否按照需求规格书的要求正确执行。
测试人员通过输入不同的数据和操作方式,检查软件的功能是否正常运行。
5. 性能测试(Performance Testing):评估软件在不同工作负载下的性能表现,包括响应时间、吞吐量、资源利用率等指标。
测试人员通过模拟正常和极限情况下的负载来进行测试。
6. 兼容性测试(Compatibility Testing):验证软件在不同操作系统、浏览器、设备等环境下的兼容性。
测试人员通过测试软件在各种环境下的可用性和稳定性来评估兼容性。
7. 安全测试(Security Testing):评估软件在保护数据安全和安全性方面的能力。
测试人员通过对软件的身份验证、授权、访问控制、漏洞扫描等进行测试。
8. 自动化测试(Automation Testing):使用自动化工具和脚本来完成测试。
测试人员可以编写脚本来执行重复性和繁琐的测试任务,提高测试效率。
9. 回归测试(Regression Testing):在软件功能被修改或添加后,重新执行之前的测试用例来确保新的改动没有引入新的错误或导致原有功能出现问题。
软件测试策略范文
软件测试策略范文Software testing is an essential part of the software development process as it helps ensure the quality and reliability of the final product. 软件测试是软件开发过程中不可或缺的一部分,因为它有助于确保最终产品的质量和可靠性。
One software testing strategy that is commonly used is the black-box testing strategy. 运用广泛的一种软件测试策略是黑盒测试策略。
This strategy focuses on testing the functionality of the software without looking at its internal code. 这种策略侧重于测试软件的功能,而不考虑其内部代码。
Another popular software testing strategy is the white-box testing strategy. 另一种流行的软件测试策略是白盒测试策略。
This strategy involves testing the software by examining its internal code and logic. 这种策略涉及通过检查软件的内部代码和逻辑来进行测试。
In addition to black-box and white-box testing, there are other testing strategies such as unit testing, integration testing, system testing, and acceptance testing. 除了黑盒测试和白盒测试,还有其他测试策略,如单元测试、集成测试、系统测试和验收测试。
网站外文翻译--简介GUI测试建模
毕业设计(论文)外文资料翻译学院:电子工程学院专业班级:机械设计制造及其自动化机械041 学生姓名:学号:指导教师:外文出处:(外文) (Times New Roman四号) 附件:1.外文资料翻译译文; 2.外文原文第三次国际会议上的软件测试,核查和验证研讨会简介GUI测试建模赵雷和蔡开元自动控制系统部分北京航空航天大学中国,北京100191邮箱:zhaolei@摘要—GUI(图形用户界面)测试用例包含的信息比非GUI测试用例丰富得多。
基于这些摘要信息,GUI测试资料可表现在更多的形式中。
在本篇论文中,我们研究建模试验剖面在GUI中的测试。
几种型号的GUI测试型材相继被提出。
然后我们提出了一个关于研究在测试剖面和故障检测中的方法论来进行图形用户界面测试。
在此基础上,一个基于这种关系的控制计划也被提议,这个计划也许可以有效地提高GUI测试的效率。
关键词—GUI测试,测试剖面模型,测试用例特点一、引言由于图形用户界面在各种软件应用程序/系统中广泛使用,GUI测试重视软件的开发。
图形用户界面测试就是GUI应用程序的测试,包括测试图形用户界面的功能和结构,以及在图形用户界面后面潜在的代码部分。
GUI应用程序有许多不同于非GUI应用程序的特点:GUI应用程序的输入事件;执行一个GUI应用程序的结果不仅取决于当前的用户输入,而且也取决于用户操作的历史;输入域的一个非平凡的GUI应用程序是非常大的甚至是无穷的。
这些特点使GUI测试不同于非GUI应用程序测试。
一个测试剖面是用来定量的描述一个应用软件将如何被测试的,它用来描述输入测试的行为。
在GUI测试中,测试输入,或测试用例,一个GUI应用程序一般的被定义为事件序列【2】【7】【8】。
很多丰富的信息是包含在事件序列中的。
也就是说,许多特性可从GUI测试用例中获得,例如它的长度、事件处理程序的要求,某种事件的比例等等。
每个这些方面的特性都代表了一种测试用例如何来测试应用程序的测试(AUT)。
计算机专业英语翻译
计算机专业英语翻译随着全球化和数字化时代的到来,计算机技术已经成为我们日常生活中不可或缺的一部分。
为了更好地掌握和运用计算机技术,计算机专业英语翻译变得越来越重要。
本文将探讨计算机专业英语翻译的重要性、技能要求和未来发展趋势。
一、计算机专业英语翻译的重要性计算机专业英语翻译是指将英语或其他语言中的计算机专业技术、理论、应用等信息翻译成中文,帮助人们更好地理解和应用这些技术。
随着全球化的推进,许多计算机技术和应用软件都是英文的,因此,计算机专业英语翻译对于掌握和应用这些技术和软件至关重要。
二、技能要求作为计算机专业英语翻译人员,需要具备以下技能:1、语言技能:需要精通英语和中文两种语言,能够准确地进行翻译和表达。
2、技术知识:需要具备计算机技术的基础知识和相关经验,以便更好地理解原文的含义和语境。
3、专业素养:需要具备高度的责任感和专业素养,保证翻译的准确性和质量。
4、跨文化沟通能力:需要了解不同文化背景下的表达方式和习惯,以便更好地传达原文的含义。
三、未来发展趋势随着和机器翻译技术的发展,计算机专业英语翻译将面临更多的挑战和机遇。
未来,计算机专业英语翻译将更加智能化、自动化和个性化。
随着全球化和数字化时代的深入发展,计算机专业英语翻译的需求也将不断增加。
因此,计算机专业英语翻译人员需要不断提高自己的技能和素质,以适应未来的发展需求。
计算机专业英语翻译是连接技术与语言的桥梁,对于推动全球化和数字化时代的发展至关重要。
作为计算机专业英语翻译人员,需要不断提高自己的技能和素质,以提供更高质量的翻译服务。
计算机专业外文翻译随着全球化和科技的发展,计算机科学领域的知识和技能日益重要。
这不仅限于国内,而是全球的趋势。
为了更好地与世界接轨,我们需要从全球视角来提升我们的计算机科学水平。
因此,外文翻译,尤其是计算机专业的外文翻译显得尤为重要。
一、计算机专业外文翻译的重要性1、知识传递:计算机科学是一个快速发展的领域,每天都有新的研究、新的技术和新的应用出现。
软件测试[意义与方法][中英对照翻译]
软件测试1.Objective目的The objective of this document is to describe software testing for use with any software development project. The purpose is to provide a baseline for software testing activities. A standardized testing process is required because it improves the effectiveness and efficiency of testing for the project. It does so in several ways.本文档的目的是描述任何软件开发项目中的软件测试活动,目的是提供一个标准的测试活动基准。
标准化的测试流程是被需要的,因为它可以提高项目测试的效率和有效性。
∙Defines the testing process∙Makes the testing process repeatable∙Ensures high-risk components of the system are tested∙Lessens the effects of individual differences (tester background and skill set) on testing∙Adds “intelligence” to testing∙Provides metrics for managing and controlling testing∙Provides metrics for assessing and improving testing∙Provides a basis for test automation∙Produces specific testing deliverable∙定义测试过程∙确保测试过程可重复∙确保系统中高风险的组件得到测试∙缩小测试中由于测试人员的背景和技能的不同产生的影响∙增加“intelligence”去测试∙为管理和控制测试提供度量∙为评估和改进测试提供度量∙提供自动化测试的基础∙产出具体的测试交付物2.What is Software Testing?什么是软件测试?The goal of the testing activity is to find as many errors as possible before the user of the software finds them. We can use testing to determine whether a program component meets its requirements.测试活动的目标是在软件的真正用户使用前尽可能的发现更多的错误,我们使用测试去确定一个程序组件是否满足它的需求。
测试文档中的strategy positive normal -回复
测试文档中的strategy positive normal -回复题目:测试文档中的strategy positive normal引言:在软件开发过程中,测试文档是一个非常重要的工具,它用于记录软件测试的过程、策略和结果。
其中的“strategy positive normal”是一种测试策略,本文将从头开始介绍这种策略的步骤和意义。
第一部分:测试文档中的测试策略测试策略是指为确保软件质量而采取的一系列计划、原则和决策。
正常情况下,测试策略有助于检验软件是否满足预期的功能需求,遵循规范和标准,并且能够应对各种典型和非典型情况。
其中,“strategy positive normal”是一种常用的测试策略,它主要关注软件应正常工作的情况下是否达到预期的功能要求。
第二部分:“strategy positive normal”步骤详解1. 确定要测试的功能:首先要明确需要测试的功能,通常是将软件的需求规范与测试计划相对应。
在“strategy positive normal”中,重点关注软件应正常工作的功能。
2. 制定测试计划:根据要测试的功能,制定具体的测试计划,包括测试的时间、资源、测试人员的分工等。
针对“strategy positive normal”,我们需要明确测试软件在正常工作情况下的各项功能。
3. 设计测试用例:根据测试计划,设计测试用例来测试软件的各项功能。
对于“strategy positive normal”,测试用例应该重点关注软件在正常工作情况下是否能够满足预期的功能要求。
4. 执行测试用例:按照设计好的测试用例,执行相应的测试。
在“strategy positive normal”中,测试人员需要模拟软件正常工作的环境和输入,以验证软件是否能正常工作并达到预期功能要求。
5. 记录测试结果:测试人员应该记录测试过程中的结果,包括测试用例的执行情况、发现的缺陷等。
通过记录测试结果,可以对软件的功能进行评估,并为后续的改进提供参考。
毕业设计之文献翻译(计算机软件测试)[管理资料]
Software Testing: Black-Box TechniquesSmirnov SergeyAbstract – Software systems play a key role in different parts of modern life. Software is used in every financial, business, educational etc. organization. Therefore, there is a demand for high quality software. It means software should be proper tested and verified before system-integration time. This work concentrated on so-called black-box technique for software testing. The several black-box methods were considered with their strengths and weaknesses. Also, the potential of automated black-box techniques for better performance in testing of reusable components was studied. Finally, the topic related to software security testing was discussed.1. IntroductionComputer technologies plays an important role in the modern society. Computers and Software that drives them affect more people and more businesses than ever today. Therefore, there is a pressure for software developers not only to build software systems quickly, but to focus on quality issues too. Low quality software that can cause loss of life or money is no longer acceptable. In order to achieve a production of highquality software the whole process of developing and maintaining of the software has to be changed and developers have to be correspondingly educated and trained. Testing takes an important part in any software development process (Fig. ). As a process by itself it is related to two other processes verification and validation.Validation is a process of evaluation a software system or component during or, at the end of, the development cycle in order to determine whether it satisfies specified requirements [8]. Verification is the process of evaluating a software system or component to determine whether the products of a given development phase satisfy the conditions imposed at the start of that phase [8].Software testing is a process or several processes designed to make sure computer code does what it was designed to do and that it does not do anything unexpected [2].The software testers are responsible to design tests that reveal defects and can be used to evaluate usability and reliability of the software performance. To achieve these goals testers must select a finite number of test cases [1]. There are two basic techniques that can be used to design test cases:–Black-box (sometimes called functional or specification);–– White-box (sometimes called clear or glass box). The white-box technique focuses on the inner structure of the software under test (SUT). To be able to design test cases using this approach a tester has to have a knowledge of the software structure.The source code or suitable pseudo code must be available [1].Figure : A Software Development ProcessBy using the black-box approach the software is viewed as a black box. The goal of a tester is to be completely unconcerned about inner structure of the software. Instead, concentrate on software behavior and functionality (Table 1).Table 1: Two basic testing techniquesWhy do we need black-box testing? First, this approach is useful for revealing requirements and specification defects. Another reason is a testing of reusable software components. Many companies use components from an outside vendors that specialize in the development of specific types of software, so-called Commercial Offthe- Shell Components (COTS).Using such components can save time and money. However, the components 1 have to be evaluated before becoming a part of any developed system. In most cases when a COTS component is purchased from a vendor, no source code is available and even if there is some, it is very expensive to buy. Usually just an executable version of the component is in the hands. In this case black-box testing might be very useful.Next sections of the work present the black-box methods and some issues related to an automation of the methods and software security testing.2. Black-Box Software Testing MethodsBy using black-box approach we are considering only inputs and outputs as a basis for designing test cases. However, we should keep in mind that due to finite time and resources an exhaustive test of all possible inputs is not possible. Therefore, it is a goal of a tester by using available resources to produce the test cases that give a maximum number of found defects. There are several methods that can help to achieve the above mentioned goal.Random TestingEach software system has an input domain from which input data is selected for testing. If inputs are randomly selected this is called random testing. The advantage of the method is that it can save time and effort that more detailed and thoughtful test input selection methods require. On the other hand, random test inputs in many cases can not produce effective set of test data [2].Equivalence Class PartitioningAn Equivalence Class Partitioning (ECP) approach divides the input domain of a software to be tested into the finite number of partitions or eqivalence classes. This method can be used to partition the output domain as well, but it is not commonly used.The result of the partitioning allows a tester to select one member of each class and based on it create test cases. It is assumed that all other members of the same equivalence class are processed the same way by the software under test. Therefore, if one test case based on chosen member detects a defect, all the other test cases based on that class would be expected to detect the same defect. And vice versa, if the test case did not detect a defect, we would expect that no other test cases in the equivalence class would produce an error.This approach has the following advantages [1]:–Elimination of the needs for exhaustive testing through the whole input/output domain, that is not possible;––Following the approach a tester selects a subset of test inputs with a high probability of detecting the defects.A test case design by ECP has two steps:1) Identifying the equivalence classes;2) Defining the test cases.We identify the equivalence classes by taking each input condition and partitioning it into two or more groups: valid equivalence classes, that include valid input to the software, and invalid equivalence classes, that represent all other possible states [2]. There are a set of rules that can be used to identify equivalence classes [2]:–If an input condition specifies a range of values, identify one valid equivalence classwithin this range, and two invalid classes out of range on the left and right side respectively.––If an input condition specify a number of values, specify one valid equivalence class within the values, and two invalid equivalence classes out of the number.––If an input condition specify a set of input values and there is a believe that the software handles each value differently, identify a valid equivalence class for each and one invalid equivalence class.––If an input condition specify a …must be“ situation, identify one valid equivalence class and one invalid equivalence class.However, there are no fast rules for identification of equivalence classes. With experience a tester is able to select equivalence class more effectively and with confindence.If there is a doubt, that the software does not process the members of the equivalence class identically, the equivalence class should be split into smaller classes. The second step of defining the test cases is as following [2]:1. Assign an unique number to each equivalence class;2. Write a new test case trying to cover all valid equivalence class;3. Write a new test case for each invalid equivalence class.Boundary Value AnalisisThe Equivalence Class Partitioning can be supplemented by another method called Boundary Value Analysis (BV A). A tester selects elements close to the edges of the input, so that the test case covers both upper and lower edges of an equivalence class [1].The ability of creating a high-quality test cases with the use of the Boundary Value Analysis depends greatly on the tester's experience as in case of the Equivalence Class Partitioning approach.Cause-Effect GraphingThe major weakness of Equivalence Class Partitioning and Boundary Value Analysis is that the methods do not allow to combine conditions. Furthermore, the number of possible combination is usually very large. Therefore, there must be a systematic way of selectiong a subset of input combinations.Cause-Effect Graphing provides a systematic approach for selecting a set of test cases. The natural-language specification is translated into a formal language – a cause-effect graph. The graph is a digital-logic circuit, but in order to build a graph no knowledge of electronics is necessary. The tester should understand only the boolean logic. The following steps are used to produce test cases [2]:–Divide the specification into workable parts. Large specifications make a cause-effectgraph difficult to manage.Figure : Simple Cause-Effect Graphs–Identify the causes and effects in the specification. A cause is a distinct input condition or an equivalence class of input conditions. An effect is an output condition or a system transformation. The causes and effects are identified by reading the specification.Once identified, each cause and effect is assigned an unique number.–From cause and effect information a boolean causeeffect graph that links causes and effects together is created.–Annotations with constraints are added, that describe combinations of causes and/or effects which are impossible.–The graph is converted to a decision table.–The colomns of the decision table are converted into test cases.The simple examples of cause-effects graphs are shown in Figure . The more detailed description with examples of this method can be found in [1] and [2].Error GuessingDesign of test cases using error guessing method is based on the tester's past experience and intuition. It is impossible to give a procedure for an error guessing approach since it is more intuitive and ad hoc process. The basic idea behind is to enumerate a list of possible errors and then write test cases based on this list.State Transition Testing StateTransition Testing can be used for both objectoriented and procedural software development. The approach is based on the concept of finite-state machine and states. It views the softwareunder test in term of its states, transitions between states, and the inputs or events that trigger state changes.A state is an internal configuration of a system. It is defined in terms of the values assumed at a particular time for the variables that characterize the system or component [1].A finite-state machine is an abstract machine that can be represented by a state graph having a finite number of states and a finite number of transitions between states [1].A State Transition Graph (STG) can be designed for the whole software system or for its specific modules. The STG graph consists of nodes (circles, ovals, rounded rectangles) that represent states and arrows between nodes that indicate what input (event) will cause a transition between two linked states. The Figure shows a simple state transition graph [1].Figure : A simple state transition graphS1 and S2 are two states. The black dot is a pointer to an initial state from outside. The arrows represent inputs/actions that cause the state transformations. It is useful to attach to the graph the system variables that are effected by state changes. The state transition graph can become very complex for large systems. One way to simplify it to use a state table representation. A state table for the graph in Figure is shown in Table 2 [1]. The State Table lists all inputs that cause the state transitions. For each state and each input the next state and action taken are shown.Table 2: A state table for the state transition graph in Fig.The STG should be prepared by developers as a part of the requirements specification. Once the graph was designed it must be reviewed. The review should ensure that –the proper number of states is represented;–each state transition (input/output/action) is correct;–equivalent states are identified;–unreachable and dead states are identified.Unreachable states are states that will never be reached with any input sequence and may indicate missing transitions. Dead states are states that once entered can not be exited [1]. After the review the test cases should be planed. One practical approach is to test every possible state transition [4].3. Automated Black-Box TestingA few black-box methods were listed above. The problem with those methods is that often the performance of testing depends greatly on experience and intuition of the tester. Therefore, there is a question if black-box testing can be automated to make testing more thorough and cost-effective.Furthermore, there is need in black-box methods, that can be used for testing reusable software components before integration into a system under development. The reusable components can be independently developed or commercially purchased. The quality of these components can vary from one vendor to another.The general strategy for automated black-box testing of software components was proposed in [5] . The strategy is based on combination of three techniques: automatic generation of component test drivers, automatic generation of test data, and automatic or semi-automatic generation of wrappers serving the role of test oracles.An approach that allows testers to take advantage of the combinatorial explosion of expected results was developed in [6]. There is a possibility to generate and check the correctness of a relatively small sets of test cases by using software Input/Output relationships. Then the expected results can be generated for the much larger combinatorial test data set. It allows a fully automated execution.In [3] Richard Torkar made a comparison of the main black-box methods in order to find their weaknesses and strengths. It was mentioned that the methods such as Cause-Effect Graphing and Error-Guessing are not suitable for automation. The difficulty in case of Equivalence Class Partitioning would be to automate the partitioning of the input domain in a satisfactory way.Since the effectiveness of black-box techniques is close connected to experience of the tester, in our opinion they can be automated by using artificial intellegence methods such as neural networks and fuzzy logic. More information about research in this area can be found in [7]. 4. Black Box Testing and Software SecurityAt the present there is a pressure on software developers to produce high quality software. Thesecurity aspects are highly related to a software quality. Security testing should be integrated in the testing process, but in reality it is not true in most cases. Usually the developers test the software just for functional requirements and do not consider security issues.One way to check software for secure vulnerabilites is to study known security problems in similar systems and generate test cases based on it. Then applying black-box techniques to run these test cases. The black-box methods play an important part in securtity testing. They allow the testers to look at the software under test from the side of attackers, which usually do not have any information about attacked system and therefore consider it as a black-box. Security testing is important for e-commerce software systems such as corporate web-sites. Furthermore, since buffer overflow is a result of bad constructed software programs, security testing can reveal such vulnerabilities, what is helpful for checking both local programs such as games, calculators, office software etc. and remote software such as e-mail servers, FTP, DNS and Internet web servers.ConclusionSoftware testing became an essential part of the software development process. The well designed test cases can significantly increase the quantity of found faults and errors.The mentioned above black-box methods provide an effective way of testing with no knowledge of inside structure of the software to be tested. Nevertheless, the quality of the black-box testing depends in general on the experience and intuition of the tester. Therefore, it is hard to automate this process. In spite of this fact, there were made a several attempts to develop approaches for automated black-box testing.The black-box testing helps the developers and testers to check software under test for secure vulnerabilities. The secure testing is a matter of importance for e-commerce applications, that are available in the Internet for a wide range of people, and for revealing buffer overflow vulnerabilities in different local and remote applications.软件测试:黑盒技术Smirnov Sergey摘要:在现代社会中,软件系统占了一个重要的位子。
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附录英文文献SOFTW ARE TESTING STEATEGIESA strategy for software testing integrates software test case design methods into a well-planned series of steps that result in the successful construction of software .As important ,a software testing strategy provides a rode map for the software developer, the quality assurance organization ,and the customer—a rode map that describes the steps to be conducted as part of testing, when these steps are planned and then undertaken, and how much effort, time, and resources will be required. Therefore , any testing strategy must incorporate test planning, test case design, test execution, and resultant data collection .一INTEGRATION TESTINGA neophyte in the software world might ask a seemingly legitimate question once all modules have been unit tested:“IF they all work individually, why do you doubt that they’ll work when we put them together?”The problem, of course, is“putting them together”—interfacing . Data can be lost across an interface; one module can have an inadvertent, adverse affect on another; subfunctions, when combiner, may not produce the desired major function; individually acceptable imprecision may be magnified to unacceptable levels; global data structures can present problems—sadly, the list goes on and on .Integration testing is a systematic technique for constructing the program structure while conducting tests to uncover errors associated with interfacing. The objective is to take unit tested modules and build a program structure that has been dictated by design.There is often a tendency to attempt non-incremental integration; that is, to construct the program using a :“big bang”approach. All modules are combined in advance .the entire program in tested as a whole. And chaos usually results! A set of errors are encountered. Correction is difficult because isolation of causes is complicated by the vast expanse of the entire program. Once these errors are corrected, new ones appear and the process continues in a seemingly endless, loop.Incremental integration is the antithesis of the big bang approach. The program is constructed and tested in small segments, where errors are easier to isolate and correct; interfaces are more likely to be tested completely; and a systematic test approach may be applied. In the sections that follow, a number of different incremental integration strategies are discussed.1.1 Top-Down IntegrationTop-Down Integration is an incremental approach to construction of program structure. Modules are integrated by moving downward through the control hierarchy, beginning with the main control module (main program). Modules subordinate (and ultimately subordinate) to the main control module are incorporated into the structure in either a depth-first or breadth-first manner.Depth-first integration would integrate all modules on a major control path of the structure. Selection of a major path is somewhat arbitrary and depends on application-specific characteristics. For example, selecting the left hand path, modules M1,M2, and M5 would be integrated first. Next, M8 or (if necessary for proper functioning of M2) M6 would be integrated. Then, the central and right hand control paths are built. Breadth-first integration incorporates all modules directly subordinate at each level, moving across the structure horizontally. From the figure, modules M2, M3, and M4 would be integrated first. The next control level, M5, M6, and so on, follows.The integration process is performed in a series of steps:(1)The main control module is used as a test driver, and stubs are substituted for all modules directly subordinate to the main control module.(2)Depending on the integration approach selected (i.e., depth- or breadth-first), subordinate stubs are replaced one at a time with actual modules.(3)Tests are conducted as each module is integrated.(4)On completion of each set of tests, another stub is replaced with the real module.(5)Regression testing may be conducted to ensure that new errors have not been introduced.The process continues from step 2 until the program structure is built.The top-down integration strategy verifies major control or decision points early in the test process. In a well-factored program structure, decision making occurs at upper levels in the hierarchy and is therefore encountered first. If major controlprogram do exist, early recognition is essential. If depth-first integration is selected, a complete function of the software may be implemented and demonstrated. For example, consider a classic transaction structure in which a complex series of interactive inputs path are requested, acquired, and validated via an incoming path. The incoming path may be integrated in a top-down manner. All input processing (for subsequent transaction dispatching) maybe demonstrated before other elements of the structure have been integrated. Early demonstration of functional capability is a confidence builder for both the developer and the customer.Top-down strategy sounds relatively uncomplicated, but in practice, logistical problems can arise. The most common of these problems occurs when processing at low levels in the hierarchy is required to adequately test upper levels, Stubs replace low-level modules at the beginning of top-down testing; therefore no significant data can flow upward in the program structure. The tester is left with three choices: 1 delay many tests until stubs are replaced with actual modules, 2 develop stubs that perform limited functions that simulate the actual module, or 3 integrate the software from the bottom of the hierarchy upward.The first approach (delay tests until stubs are replaced by actual modules) causes us to lose some control over correspondence between specific tests and incorporation of specific modules. This can lead to difficulty in determining the cause of errors and tends to violate the highly constrained nature of top-down approach. The second approach is workable, but can lead to significant overhead, as stubs become more and more complex. The third approach is called bottom-up testing.1.2 Bottom-Up IntegrationBottom-up integration testing, as its name implies, begins construction and testing with atomic modules (i.e., modules at the lowest level in the program structure). Because modules are integrated from the bottom up, processing required for modules subordinate to a given level is always available and the need for stubs is eliminated.A bottom-up integration strategy may be implemented with the following steps:1 Low-level modules are combined into clusters (sometimes called builds) that perform a specific software subfunction.1. A driver (a control program for testing) is written to coordinate test case input and output.2 .The cluster is tested.3.Drivers are removed and clusters are combined moving upward in the program structure.Modules are combined to form clusters 1,2, and 3. Each of the clusters is tested using a driver (shown as a dashed block) Modules in clusters 1 and 2 are subordinate to M1. Drivers D1 and D2 are removed, and the clusters are interfaced directly to M1. Similarly, driver D3 for cluster 3 is removed prior to integration with module M2. Both M1 and M2 will ultimately be integrated with M3, and so forth.As integration moves upward, the need for separate test drivers lessens, In fact, if the top tow levels of program structure are integrated top-down, the number of drivers can be reduced substantially and integration of clusters is greatly simplified.1.3 Regression TestingEach time a new module is added as part of integration testing, the software changes. New data flow paths are established, new I/O may occur, and new control logic is invoked. These changes may cause problems functions that regression testing is the re-execution of some subset of tests that have already been conducted to ensure that changes have not propagated unintended side effects.In a broader context, successful tests (of any kind) result in the discovery of errors, and errors must be corrected. Whenever software is corrected, some aspect of the software configuration (the program, its documentation, or the data that support it) is changes. Regression testing is the activity that helps to ensure that changes (due to testing or for other reasons) do not introduce unintended behavior or additional errors.Regression testing maybe conducted manually, be re-executing a subset of all test cases or using automated capture playback tools. Capture-playback tools enable the software engineer to capture test cases and results for subsequent playback and comparison. The regression test suite (the subset of tests to be executed) contains three different classes of test cases:1.A representative sample of tests that will exercise all software functions.2.Additional tests that focus on software functions that are likely to be affected by the change.3.Tests that focus on the software components that have been changed.As integration testing proceeds, the number of regression tests can grow quite large. Therefore, the regression test suite should be designed to include only those tests that address one or more classes of errors in each of the major program functions. It is impractical and inefficient to re-execute every test for every program functiononce a change has occurred.1.4 Comments on Integration TestingThere has been much discussion of the relative advantages and disadvantages of top-down versus bottom-up integration testing. In general, the advantages of one strategy tend to result in disadvantages for the other strategy. The major disadvantage of the top-down approach is the need for stubs and the attendant testing difficulties that can be associated with them. Problems associated with stubs maybe offset by the advantage of testing major control functions early. The major disadvantage of bottom up integration is that “the program as an entity does not exist until the last module is added”. This drawback is tempered by easier test case design and a lack of stubs.Selection of an integration strategy depends upon software characteristics and sometimes, project schedule. In general, a combined approach (sometimes called sandwich testing) that uses a top-down strategy for upper levels of the program structure, coupled with a bottom-up strategy for subordinate levels maybe the best compromise.As integration testing is conducted, the tester should identify critical modules. A critical module has one or more of following characteristics: 1 addresses several software requirements;2 has a high level of control (resides relatively high in the program structure); 3 is complex or error-prone(cyclomatic complexity maybe used as an indicator ); or 4 has definite performance requirements. Critical modules should be tested as early as is possible. In addition, regression tests should focus on critical module function.二SYSTEM TESTING2.1 Recovery TestingMany computer-based systems must recover from faults and resume processing within a prespecified time. In some cases, a system must be fault tolerant; that is, processing fault must not cause overall system function to cease. In other cases, a system failure must be corrected whining a specified period of time or severe economic damage will occur.Recovery testing is a system test that forces the software to fail in variety of ways and recovery is properly performed. If recovery is automatic (performed by the system itself), re-initialization, checkpointing mechrequires human intervention, the mean time to repair is evaluated to determine whether it is within acceptable limits.2.2 Security TestingAny computer-based system that manages sensitive information or cause actions that can improperly harm (or benefit) individuals is a target for improper or illegal penetration.Penetration spans a broad range of activities: hackers who attempt to penetrate systems for sport; disgruntled employees who attempt to penetrate for revenge; and dishonest individuals who attempt to penetrate for illicit personal gain.Security testing attempts to verify that protection mechanisms built into a system will in fact protect it from improper penetration. To quote Beizer:“The system’s security must, of course, be tested for invulnerability from frontal attack—but must also be tested for invulnerability from flank or rear attack.”During security testing, the tester plays the role of the individual who desires to penetrate the system. Anything goes! The tester may attempt to acquires passwords through external clerical means, may attack the system with custom software designed to break down any defenses that have been constructed; may overwhelm the errors, hoping to penetrate during recovery; may browse through insecure data, hoping to find the key to system entry; and so on.Given enough time and resources, good security testing will ultimately penetrate a system. The role of the system designer is to make penetration cost greater than the value of the information that will be obtained.2.3 Stress TestingDuring earlier software testing steps, while-box techniques resulted in through evaluation of normal program functions and performance. Stress tests are designed to confront programs with abnormal situations. In essence, the tester who performs stress testing asks:“How high can we crank this up before it fail?”Stress testing executes a system in a manner that demands resources in abnormal quantity, frequency, or volume. For example, 1 special tests maybe designed that generate 10 interrupts per second, when one or two is the average rate; 2 input data rates maybe increased by an order of magnitude to determine how input functions will respond; 3 test cases that require maximum memory or other resources maybe executed;4 test cases that may cause thrashing in a virtual operating system maybe designed; or 5 test cases that may cause excessive hunting for disk resident datamaybe created. Essentially, the tester attempts to break the problem.A variation of stress testing is a technique called sensitivity testing. In some situations (the most common occur in mathematical algorithms) a very small rang of data contained within the bounds of valid data for a program may cause extreme and even erroneous processing or profound performance degradation. This situation is analogous to a singularity in a mathematical function. Sensitivity testing attempts to uncover data combinations within valid input classes that may cause instability or improper processing.2.4 Performance TestingFor real-time and embedded systems, software that provides required function but does not conform to performance requirements is unacceptable. Performance testing is designed to test run-time performance of software within the context of an integrated system. Performance testing occurs throughout all steps in the testing process. Even at the unit level, the performance of an individual module maybe assessed as while-box test are conducted. H0owever, it is not until all system elements are fully integrated that the true performance of a system can be ascertained.软件测试策略软件测试策略把软件测试案例的设计方法集成到一系列已经周密计划的步骤中去,从而使软件的开发得以成功地完成。