{"title":"基于迭代抽象解释的属性导向验证","authors":"Banghu Yin","doi":"10.1109/ICSE-Companion.2019.00067","DOIUrl":null,"url":null,"abstract":"Static analysis by abstract interpretation is one of the widely used automatic approaches to program verification, due to its soundness guarantee and scalability. A key challenge for abstract interpretation with convex and linear abstract domain is verifying complex programs with disjunctive or non-linear behaviors. Our approach is conducting abstract interpretation in an iterative forward and backward manner. It utilizes dynamic input space partitioning to split the input space into sub-spaces. Thus each sub-space involves fewer disjunctive and non-linear program behaviors and is easier to be verified. We have implemented our approach. The experimental results are promising.","PeriodicalId":273100,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":"96 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Property Oriented Verification Via Iterative Abstract Interpretation\",\"authors\":\"Banghu Yin\",\"doi\":\"10.1109/ICSE-Companion.2019.00067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Static analysis by abstract interpretation is one of the widely used automatic approaches to program verification, due to its soundness guarantee and scalability. A key challenge for abstract interpretation with convex and linear abstract domain is verifying complex programs with disjunctive or non-linear behaviors. Our approach is conducting abstract interpretation in an iterative forward and backward manner. It utilizes dynamic input space partitioning to split the input space into sub-spaces. Thus each sub-space involves fewer disjunctive and non-linear program behaviors and is easier to be verified. We have implemented our approach. The experimental results are promising.\",\"PeriodicalId\":273100,\"journal\":{\"name\":\"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)\",\"volume\":\"96 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSE-Companion.2019.00067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE-Companion.2019.00067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Property Oriented Verification Via Iterative Abstract Interpretation
Static analysis by abstract interpretation is one of the widely used automatic approaches to program verification, due to its soundness guarantee and scalability. A key challenge for abstract interpretation with convex and linear abstract domain is verifying complex programs with disjunctive or non-linear behaviors. Our approach is conducting abstract interpretation in an iterative forward and backward manner. It utilizes dynamic input space partitioning to split the input space into sub-spaces. Thus each sub-space involves fewer disjunctive and non-linear program behaviors and is easier to be verified. We have implemented our approach. The experimental results are promising.