{"title":"基于状态空间剪枝的并发软件CPN模型检验方法","authors":"Tao Sun, Jing Yang, Wenjie Zhong","doi":"10.1109/TrustCom50675.2020.00187","DOIUrl":null,"url":null,"abstract":"In order to solve the state explosion problem that makes model checking difficult to perform, this paper proposes a state space pruning algorithm. The property transition set is extracted from the ASK-CTL formula and the irrelevant transition set, which represents behaviors independent of the property to be detected is obtained through the data dependence relationship. To simplify the state space, the algorithm reduces concurrent occurrences of irrelevant transitions, which does not change property checking. The experimental results show that the state space pruning algorithm reduces the number of states and arcs of the state space, and improves the verification efficiency.","PeriodicalId":221956,"journal":{"name":"2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CPN Model Checking Method of Concurrent Software Based on State Space Pruning\",\"authors\":\"Tao Sun, Jing Yang, Wenjie Zhong\",\"doi\":\"10.1109/TrustCom50675.2020.00187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the state explosion problem that makes model checking difficult to perform, this paper proposes a state space pruning algorithm. The property transition set is extracted from the ASK-CTL formula and the irrelevant transition set, which represents behaviors independent of the property to be detected is obtained through the data dependence relationship. To simplify the state space, the algorithm reduces concurrent occurrences of irrelevant transitions, which does not change property checking. The experimental results show that the state space pruning algorithm reduces the number of states and arcs of the state space, and improves the verification efficiency.\",\"PeriodicalId\":221956,\"journal\":{\"name\":\"2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TrustCom50675.2020.00187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TrustCom50675.2020.00187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CPN Model Checking Method of Concurrent Software Based on State Space Pruning
In order to solve the state explosion problem that makes model checking difficult to perform, this paper proposes a state space pruning algorithm. The property transition set is extracted from the ASK-CTL formula and the irrelevant transition set, which represents behaviors independent of the property to be detected is obtained through the data dependence relationship. To simplify the state space, the algorithm reduces concurrent occurrences of irrelevant transitions, which does not change property checking. The experimental results show that the state space pruning algorithm reduces the number of states and arcs of the state space, and improves the verification efficiency.