机器学习赋能汽车软件质量管理：融合、创新与挑战

Machine Learning Empowers Automotive Software Quality Management： Integration， Innovation and Challenges

CHEN Xiu （GRGMetrology&TestGroupCo.，Ltd.）

Abstract：This paper focuses on exploring the relationship between automotive software quality management and machinelearning inartificialintellgence.ByintegratingtheAutomotive Software QualityManagementSystem（ASQMS） with GB/T4508-24，ArtfcialintellgenceManagementsstem，itonductsani-depthalysisofthehalleges faced byautomotive softwarequality management，suchas highcomplexityand frequent updates.Itintroduces the basicconcepts，classifications，andcommonlyusedalgorithmsofmachinelearning.Then，itdelvesintotheapications of machine learning inautomotivesoftware qualitymanagement，andanalyzes its impactson the management mode， processes，andfexibilityof theautomotive softwarequalitymanagement system.Also，itpointsoutthechalenges in termsof data quality，algorithmmodels，talent，andorganizationencounteredduring theapplicationofmachinelearning， and proposes corresponding solutions.

Keywords：automotive software quality management; machine learning;management system

0 引言

汽车软件已成为行业竞争的核心要素。（剩余6300字）