Roberto Bruttomesso, Simone Rollini, N. Sharygina, Aliaksei Tsitovich
{"title":"Flexible interpolation with local proof transformations","authors":"Roberto Bruttomesso, Simone Rollini, N. Sharygina, Aliaksei Tsitovich","doi":"10.1109/ICCAD.2010.5654297","DOIUrl":null,"url":null,"abstract":"Model checking based on Craig's interpolants ultimately relies on efficient engines, such as SMT-Solvers, to log proofs of unsatisfiability and to derive the desired interpolant by means of a set of algorithms known in literature. These algorithms, however, are designed for proofs that do not contain mixed predicates. In this paper we present a technique for transforming the propositional proof produced by an SMT-Solver in such a way that mixed predicates are eliminated. We show a number of cases in which mixed predicates arise as a consequence of state-of-the-art solving procedures (e.g. lemma on demand, theory combination, etc.). In such cases our technique can be applied to allow the reuse of known interpolation algorithms. We demonstrate with a set of experiments that our approach is viable.","PeriodicalId":344703,"journal":{"name":"2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.2010.5654297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Model checking based on Craig's interpolants ultimately relies on efficient engines, such as SMT-Solvers, to log proofs of unsatisfiability and to derive the desired interpolant by means of a set of algorithms known in literature. These algorithms, however, are designed for proofs that do not contain mixed predicates. In this paper we present a technique for transforming the propositional proof produced by an SMT-Solver in such a way that mixed predicates are eliminated. We show a number of cases in which mixed predicates arise as a consequence of state-of-the-art solving procedures (e.g. lemma on demand, theory combination, etc.). In such cases our technique can be applied to allow the reuse of known interpolation algorithms. We demonstrate with a set of experiments that our approach is viable.