1、By Antoine Aymer,Global CTOGenerative AIGenerative AIapplied toapplied toQuality Engineering and TestingQuality Engineering and TestingOct 202412Generative AI amplifies human-driven quality engineeringAI-powered platforms complement and extend beyond human-designed testingTechnical and analytical ta
2、sksArtificial IntelligenceMachine LearningDeep LearningGenerative AILarge Language ModelNatural language-driven tasksComplex object detectionVisual recognitionself-healing automation testsRoot cause analysisuser flow validationPredictive metricsSynthetic data generationhttps:/ software lifecycle act
3、ivities unrelated to code12Last year,at the CxO summit,in CannesPotential impact on productivity Effort required to implementMining Agile Team CommunicationTest Environment Monitoring and Management Mining End User Feedback Knowledge base for best practicesTest PlanningScript generationAutomated Sec
4、urity Testing and Analysis Requirement Analysis and ValidationTest Case GenerationSecurity Test Case GenerationTest Scenario Generation and OptimizationPerf Test Scenario Generation and OptimizationPerf Test AnalysisLog Mining for Defect Detection and Analysis Usability Test Scenario GenerationUsabi
5、lity Testing Analysis and RecommendationsDefect AnalysisTest Result Analysis and ReportingScript maintenanceAutomated Accessibility Testing Test Data Generation and SynthesisTest Data Masking and AnonymizationTest Environment Configuration and SetupImportance in QE&TThe importance is based on a comb
6、ination of factors like time spent on the activity,criticality of the activity,and the potential impact of the use case on overall testing outcomes.SmallMediumHighWhat if testing could be completed beforewriting a single line of code?RequirementsBusinessUser StoriesTest DesignFunctionality meets bus