Standard ML 프로그램 실행 중 처리되지 않는 예외 상황을효과적으로 예측하는 방법A Cost-effective Estimation of Uncaught Exceptions in Standard ML Programs

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dc.contributor.author류석영ko
dc.contributor.author이광근ko
dc.date.accessioned2013-02-28T04:54:20Z-
dc.date.available2013-02-28T04:54:20Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-
dc.identifier.citation정보과학회논문지 : 소프트웨어 및 응용, v.24, no.11, pp.1267 - 1283-
dc.identifier.issn1229-6848-
dc.identifier.urihttp://hdl.handle.net/10203/72870-
dc.languageKorean-
dc.publisher한국정보과학회-
dc.titleStandard ML 프로그램 실행 중 처리되지 않는 예외 상황을효과적으로 예측하는 방법-
dc.title.alternativeA Cost-effective Estimation of Uncaught Exceptions in Standard ML Programs-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume24-
dc.citation.issue11-
dc.citation.beginningpage1267-
dc.citation.endingpage1283-
dc.citation.publicationname정보과학회논문지 : 소프트웨어 및 응용-
dc.contributor.localauthor이광근-
dc.contributor.nonIdAuthor류석영-
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