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基于Ontology-CT的船舶智能航行测试场景生成方法

Ontology-CT Based Method for Generating Intelligent Navigation Test Scenarios for Ships
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摘要 为解决传统基于穷举的虚拟测试场景生成方法生成场景数量级大、冗余不合理场景多,难以满足测试需求等问题,提出一种基于本体论和组合测试的场景生成方法,使用本体论对船舶与环境间的博弈和对抗行为进行形式化,并构建船舶典型航行场景本体。通过基于本体论的组合测试输入模型转换(CTONT-Flatten)算法将本体转换为组合测试输入模型,使用组合测试工具生成测试用例,并对生成结果进行分析验证。结果表明:与穷举测试方法相比,该方法生成场景数量显著减少,可有效节约测试成本,提升测试效率。研究成果可为智能航行系统迭代升级提供一定参考。 To solve the problems of large number of scenarios,redundant and unreasonable scenarios,and difficulty in meeting test requirements in the traditional exhaustive-based virtual test scenario generation method,a scenario generation method based on ontology and combinatorial testing is proposed.Ontology is used to formalize the game and adversarial behavior between ships and the environment,and a typical ship navigation scenario ontology is constructed.The ontology is transformed into a composite test input model using the Combinatorial Testing Ontology to Input Model Flatten(CTONT-Flatten)algorithm,composite testing tools are used to generate test cases,and the generated results are analyzed and verified.The results show that compared with exhaustive testing methods,this method significantly reduces the number of generated scenarios,effectively saves testing costs,and improves testing efficiency.The research results can provide some guidance for the iterative upgrade of intelligent navigation systems.
作者 李华棚 徐言民 关宏旭 LI Huapeng;XU Yanmin;GUAN Hongxu(School of Navigation,Wuhan University of Technology,Wuhan 430063,China)
出处 《船舶工程》 CSCD 北大核心 2024年第10期59-67,152,共10页 Ship Engineering
基金 国家重点研发计划资助(2022YFB4301402)。
关键词 智能船舶 虚拟测试 本体论 组合测试 场景生成 intelligent ship virtual test ontology combinatorial test scenario generation
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