{"title":"通过搜索空间分区来检查LTL模型","authors":"Fei Pu, Wenhui Zhang","doi":"10.1109/QSIC.2006.37","DOIUrl":null,"url":null,"abstract":"The applicability of model checking is often limited by the size of the industrial system. This is known as state space explosion problem. Compositional verification has been particularly successful in this regard. This paper presents an approach based on a refinement of search space partition for reducing the complexity in verification of models with non-deterministic choices and open environment. The refinement depends on the representation of each portion of search space. Especially, search space can be refined stepwise to get better reduction. As reported in the case studies, search space partition improves the efficiency of verification with respect to the requirement of memory and obtains significant advantage over the use of the original one","PeriodicalId":378310,"journal":{"name":"2006 Sixth International Conference on Quality Software (QSIC'06)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"LTL Model Checking via Search Space Partition\",\"authors\":\"Fei Pu, Wenhui Zhang\",\"doi\":\"10.1109/QSIC.2006.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The applicability of model checking is often limited by the size of the industrial system. This is known as state space explosion problem. Compositional verification has been particularly successful in this regard. This paper presents an approach based on a refinement of search space partition for reducing the complexity in verification of models with non-deterministic choices and open environment. The refinement depends on the representation of each portion of search space. Especially, search space can be refined stepwise to get better reduction. As reported in the case studies, search space partition improves the efficiency of verification with respect to the requirement of memory and obtains significant advantage over the use of the original one\",\"PeriodicalId\":378310,\"journal\":{\"name\":\"2006 Sixth International Conference on Quality Software (QSIC'06)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 Sixth International Conference on Quality Software (QSIC'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QSIC.2006.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Sixth International Conference on Quality Software (QSIC'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QSIC.2006.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The applicability of model checking is often limited by the size of the industrial system. This is known as state space explosion problem. Compositional verification has been particularly successful in this regard. This paper presents an approach based on a refinement of search space partition for reducing the complexity in verification of models with non-deterministic choices and open environment. The refinement depends on the representation of each portion of search space. Especially, search space can be refined stepwise to get better reduction. As reported in the case studies, search space partition improves the efficiency of verification with respect to the requirement of memory and obtains significant advantage over the use of the original one