book

Full Stack Testing

by Gayathri Mohan

June 2022

Intermediate to advanced

405 pages

11h 2m

English

O'Reilly Media, Inc.

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Why I Wrote This BookWho Should Read This Book?Navigating This BookConventions Used in This BookO’Reilly Online LearningHow to Contact UsAcknowledgments
Full Stack Testing for High QualityShift-Left TestingTen Full Stack Testing SkillsKey Takeaways
Building BlocksExploratory Testing FrameworksExploring a FunctionalityManual Exploratory Testing StrategyUnderstand the ApplicationExplore in PartsRepeat Exploratory Testing in PhasesExercisesAPI TestingWeb UI TestingPerspectives: Test Environment HygieneKey Takeaways
Building BlocksIntroduction to Micro and Macro Test TypesAutomated Functional Testing StrategyExercisesUI Functional TestsService TestsUnit TestsAdditional Testing ToolsPactKarateAI/ML Tools in Automated Functional TestingPerspectivesAntipatterns to Overcome100% Automation Coverage!Key Takeaways
Building BlocksIntroduction to Continuous IntegrationThe CI/CT/CD ProcessPrinciples and EtiquetteContinuous Testing StrategyBenefitsExerciseGitJenkinsThe Four Key MetricsKey Takeaways
Building BlocksDatabasesCachesBatch Processing SystemsEvent StreamsData Testing StrategyExercisesSQLJDBCApache Kafka and ZerocodeAdditional Testing ToolsTest ContainersDeequKey Takeaways
Building BlocksIntroduction to Visual TestingProject/Business-Critical Use CasesFrontend Testing StrategyUnit TestsIntegration/Component TestsSnapshot Tests Functional End-to-End TestsVisual TestsCross-Browser TestingFrontend Performance TestingAccessibility TestingExercisesBackstopJSCypressAdditional Testing ToolsApplitools Eyes, an AI-Powered ToolStorybookPerspectives: Visual Testing ChallengesKey Takeaways
Building BlocksCommon CyberattacksThe STRIDE Threat ModelApplication VulnerabilitiesThreat ModelingSecurity Testing StrategyExercisesOWASP Dependency-CheckOWASP ZAPAdditional Testing ToolsSnyk IDE Plug-inTalisman Pre-Commit HookChrome DevTools and PostmanPerspectives: Security Is a HabitKey Takeaways
Backend Performance Testing Building BlocksPerformance, Sales, and Weekends Off Are Correlated!Simple Performance GoalsFactors Affecting Application PerformanceKey Performance IndicatorsTypes of Performance TestsTypes of Load PatternsPerformance Testing StepsExercisesStep 1: Define the Target KPIsStep 2: Define the Test CasesSteps 3–5: Prepare the Data, Environment, and ToolsStep 6: Script the Test Cases and Run Them Using JMeterAdditional Testing ToolsGatlingApache BenchmarkFrontend Performance Testing Building BlocksFactors Affecting Frontend PerformanceRAIL ModelFrontend Performance MetricsExercisesWebPageTestLighthouseAdditional Testing ToolsPageSpeed InsightsChrome DevToolsPerformance Testing StrategyKey Takeaways

Building BlocksAccessibility User PersonasAccessibility EcosystemExample: Screen ReadersWCAG 2.0: Guiding Principles and LevelsLevel A Conformance StandardsAccessibility Enabled Development FrameworksAccessibility Testing StrategyAccessibility Checklist in User StoriesAutomated Accessibility Auditing ToolsManual TestingExercisesWAVELighthouseLighthouse Node ModuleAdditional Testing ToolsPa11y CI Node ModuleAxe-corePerspectives: Accessibility as a CultureKey Takeaways
Building BlocksCFR Testing StrategyFunctionalityUsabilityReliabilityPerformanceSupportabilityOther CFR Testing MethodsChaos EngineeringArchitecture TestingInfrastructure TestingCompliance TestingPerspectives: Evolvability and the Test of Time!Key Takeaways
Building BlocksIntroduction to the Mobile LandscapeMobile App ArchitectureMobile Testing StrategyManual Exploratory TestingFunctional Automated TestingData TestingVisual TestingSecurity TestingPerformance TestingAccessibility TestingCFR TestingExercisesAppiumAppium Visual Testing Plug-inAdditional Testing ToolsAndroid Studio’s Database InspectorPerformance Testing ToolsSecurity Testing ToolsAccessibility ScannerPerspectives: The Mobile Test PyramidKey Takeaways
First Principles in TestingDefect Prevention over Defect DetectionEmpathetic TestingMicro- and Macro-Level TestingFast FeedbackContinuous FeedbackMeasuring Quality MetricsCommunication and Collaboration Are Key to QualitySoft Skills Aid in Building a Quality-First MindsetConclusion
Artificial Intelligence and Machine LearningIntroduction to Machine LearningTesting ML ApplicationsBlockchainIntroduction to Blockchain ConceptsTesting Blockchain ApplicationsInternet of ThingsIntroduction to the IoT’s Five-Layer ArchitectureTesting IoT ApplicationsAugmented Reality and Virtual RealityTesting AR/VR Applications

Content preview from Full Stack Testing

Chapter 5. Data Testing

Make or break trust with data!

Take a moment to think about the online services that you use every day. You will find that they essentially offer you one of two types of services: they sell their data to you or collect your data and process it on your behalf. For instance, ecommerce, ride-hailing, food delivery, movie booking/streaming, and online gaming applications are examples of the first category, where their core value proposition comes from the collection of data, whereas a notes application, social networking apps like Facebook, Twitter, and Instagram, blogging sites and the like thrive by accumulating your data! In both cases, data is at the center of their galaxy, and their unique functionalities, user experience design, branding, and marketing aspects revolve around it. To elaborate on this with an example, Amazon is a data business at its heart. Its collection of product information forms the epicenter of the business, and core functionalities, such as purchasing and delivering products, are built on top of it. The company’s branding and marketing subtly draws attention to its data supremacy: the Amazon logo, with an arrow between the A and the z, tells the world that it has an enormous variety of data on products ranging from a–z.

Data has an unparalleled significance in any application, and when its integrity is not maintained with diligence, customers’ trust in the application can quickly go downhill—and along with their trust, sales and ...