{"title":"A hybrid SAT-based decision procedure for separation logic with uninterpreted functions","authors":"S. Seshia, Shuvendu K. Lahiri, R. Bryant","doi":"10.1145/775832.775945","DOIUrl":null,"url":null,"abstract":"SAT-based decision procedures for quantifier-free fragments of first-order logic have proved to be useful in formal verification. These decisions procedures are either based on encoding atomic subformulas with Boolean variables, or by encoding integer variables as bit-vectors. Based on evaluating these two encoding methods on a diverse set of hardware and software benchmarks, we conclude that neither method is robust to variations in formula characteristics. We therefore propose a new hybrid technique that combines the two methods. We give experimental results showing that the hybrid method can significantly outperform either approach as well as other decision procedures.","PeriodicalId":167477,"journal":{"name":"Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451)","volume":"44 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"91","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/775832.775945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 91
Abstract
SAT-based decision procedures for quantifier-free fragments of first-order logic have proved to be useful in formal verification. These decisions procedures are either based on encoding atomic subformulas with Boolean variables, or by encoding integer variables as bit-vectors. Based on evaluating these two encoding methods on a diverse set of hardware and software benchmarks, we conclude that neither method is robust to variations in formula characteristics. We therefore propose a new hybrid technique that combines the two methods. We give experimental results showing that the hybrid method can significantly outperform either approach as well as other decision procedures.