{"title":"The T-experiments: errors in scientific software","authors":"L. Hatton","doi":"10.1109/99.609829","DOIUrl":null,"url":null,"abstract":"Extensive tests showed that many software codes widely used in science and engineering are not as accurate as we would like to think. It is argued that better software engineering practices would help solve this problem, but realizing that the problem exists is an important first step.","PeriodicalId":148231,"journal":{"name":"Quality of Numerical Software","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"150","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality of Numerical Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/99.609829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 150
Abstract
Extensive tests showed that many software codes widely used in science and engineering are not as accurate as we would like to think. It is argued that better software engineering practices would help solve this problem, but realizing that the problem exists is an important first step.