{"title":"模型检验的概率pi演算","authors":"G. Norman, C. Palamidessi, D. Parker, Peng Wu","doi":"10.1109/QEST.2007.31","DOIUrl":null,"url":null,"abstract":"We present an implementation of model checking for the probabilistic pi-calculus-calculus, a process algebra which supports modelling of concurrency, mobility and discrete probabilistic behaviour. Formal verification techniques for this calculus have clear applications in several domains, including mobile ad-hoc network protocols and random security protocols. Despite this, no implementation of automated verification exists. Building upon the (non-probabilistic) pi-calculus model checker MMC, we first show an automated procedure for constructing the Markov decision process representing a probabilistic pi-calculus process. This can then be verified using existing probabilistic model checkers such as PRISM. Secondly, we demonstrate how for a large class of systems a more efficient, compositional approach can be applied, which uses our extension of MMC on each parallel component of the system and then translates the results into a high-level model description for the PRISM tool. The feasibility of our techniques is demonstrated through three case studies from the pi-calculus literature.","PeriodicalId":249627,"journal":{"name":"Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Model checking the probabilistic pi-calculus\",\"authors\":\"G. Norman, C. Palamidessi, D. Parker, Peng Wu\",\"doi\":\"10.1109/QEST.2007.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an implementation of model checking for the probabilistic pi-calculus-calculus, a process algebra which supports modelling of concurrency, mobility and discrete probabilistic behaviour. Formal verification techniques for this calculus have clear applications in several domains, including mobile ad-hoc network protocols and random security protocols. Despite this, no implementation of automated verification exists. Building upon the (non-probabilistic) pi-calculus model checker MMC, we first show an automated procedure for constructing the Markov decision process representing a probabilistic pi-calculus process. This can then be verified using existing probabilistic model checkers such as PRISM. Secondly, we demonstrate how for a large class of systems a more efficient, compositional approach can be applied, which uses our extension of MMC on each parallel component of the system and then translates the results into a high-level model description for the PRISM tool. The feasibility of our techniques is demonstrated through three case studies from the pi-calculus literature.\",\"PeriodicalId\":249627,\"journal\":{\"name\":\"Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QEST.2007.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QEST.2007.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an implementation of model checking for the probabilistic pi-calculus-calculus, a process algebra which supports modelling of concurrency, mobility and discrete probabilistic behaviour. Formal verification techniques for this calculus have clear applications in several domains, including mobile ad-hoc network protocols and random security protocols. Despite this, no implementation of automated verification exists. Building upon the (non-probabilistic) pi-calculus model checker MMC, we first show an automated procedure for constructing the Markov decision process representing a probabilistic pi-calculus process. This can then be verified using existing probabilistic model checkers such as PRISM. Secondly, we demonstrate how for a large class of systems a more efficient, compositional approach can be applied, which uses our extension of MMC on each parallel component of the system and then translates the results into a high-level model description for the PRISM tool. The feasibility of our techniques is demonstrated through three case studies from the pi-calculus literature.