{"title":"程序分析中的符号消除","authors":"Laura Kov´cs","doi":"10.1109/SYNASC.2011.60","DOIUrl":null,"url":null,"abstract":"Automatic understanding of the intended meaning of computer programs is a very hard problem, requiring intelligence and reasoning. In this abstract we discuss a new method for program analysis, called symbol elimination. Symbol elimination uses first-order theorem proving techniques to automatically discover non-trivial program properties, such as loop invariants and loop bounds. Moreover, symbol elimination can be used as an alternative to interpolation for software verification.","PeriodicalId":184344,"journal":{"name":"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Symbol Elimination in Program Analysis\",\"authors\":\"Laura Kov´cs\",\"doi\":\"10.1109/SYNASC.2011.60\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic understanding of the intended meaning of computer programs is a very hard problem, requiring intelligence and reasoning. In this abstract we discuss a new method for program analysis, called symbol elimination. Symbol elimination uses first-order theorem proving techniques to automatically discover non-trivial program properties, such as loop invariants and loop bounds. Moreover, symbol elimination can be used as an alternative to interpolation for software verification.\",\"PeriodicalId\":184344,\"journal\":{\"name\":\"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2011.60\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2011.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic understanding of the intended meaning of computer programs is a very hard problem, requiring intelligence and reasoning. In this abstract we discuss a new method for program analysis, called symbol elimination. Symbol elimination uses first-order theorem proving techniques to automatically discover non-trivial program properties, such as loop invariants and loop bounds. Moreover, symbol elimination can be used as an alternative to interpolation for software verification.