{"title":"Specification extraction by symbolic execution","authors":"J. Pichler","doi":"10.1109/WCRE.2013.6671323","DOIUrl":null,"url":null,"abstract":"Technical software systems contain extensive and complex computations that are frequently implemented in an optimized and unstructured way. Computations are, therefore, hard to comprehend from source code. If no other documentation exists, it is a tedious endeavor to understand which input data impact on a particular computation and how a program does achieves a particular result. We apply symbolic execution to automatically extract computations from source code. Symbolic execution makes it possible to identify input and output data, the actual computation as well as constraints of a particular computation, independently of encountered optimizations and unstructured program elements. The proposed technique may be used to improve maintenance and reengineering activities concerning legacy code in scientific and engineering domains.","PeriodicalId":275092,"journal":{"name":"2013 20th Working Conference on Reverse Engineering (WCRE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 20th Working Conference on Reverse Engineering (WCRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCRE.2013.6671323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Technical software systems contain extensive and complex computations that are frequently implemented in an optimized and unstructured way. Computations are, therefore, hard to comprehend from source code. If no other documentation exists, it is a tedious endeavor to understand which input data impact on a particular computation and how a program does achieves a particular result. We apply symbolic execution to automatically extract computations from source code. Symbolic execution makes it possible to identify input and output data, the actual computation as well as constraints of a particular computation, independently of encountered optimizations and unstructured program elements. The proposed technique may be used to improve maintenance and reengineering activities concerning legacy code in scientific and engineering domains.