基于动态规则的工业软件数据模型标准符合性测试方法研究
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on Conformance Method for Stware Data Model Stards Based on Dynamic Rules
WU Cuiying Lei Shunwei WU Pengcheng XU Wei
Abstract：To address the limitations traditional conformance testing methods for industrial stware data model stards，includinginsuficientcross-industryadaptabilitylowtestingefciencyhighrulemintenancecots，ths paper proposes a dynamic rule-based testing method leveraging natural language processing.The approach automatically converts stard documents into executable test rules， establishes a dynamic rule adaptation mechanism to supportflexibleadjustments for mult-industryscenarios.Furthermore，ithas designed implementedaconformance testingtoolforindustrial stwaredata model stards.Thisresearch providesanefcientflexible solution for the automatedtestingindustrialstwaredatastards，significantlyreducing the workloadforimporting maintaining baseline testrulelibraries.Iteffectivelyresolvescros-industryadaptationchalenges instardtesting whilesupporting rapid stard iteration expansion industry features.
words： industrial stware; data model stards; conformance testing;testing methodology
0 引言
随着数字化转型的深入，工业软件在智能制造、产品全生命周期管理等领域的作用日益凸显。（剩余4357字）
