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  • 标题:Can you Trust your Data?
  • 本地全文:下载
  • 作者:Peter Ørbæk
  • 期刊名称:BRICS Report Series
  • 印刷版ISSN:0909-0878
  • 出版年度:1995
  • 卷号:2
  • 期号:24
  • 出版社:Aarhus University
  • 摘要:A new program analysis is presented, and two compile time methods for this analysis are given. The analysis attempts to answer the question: “Given some trustworthy and some untrustworthy input, can we trust the value of a given variable after execution of some code”. The analyses are based on an abstract interpretation framework and a constraint generation framework, respectively. The analyses are proved safe with respect to an instrumented semantics. We explicitly deal with a language with pointers and possible aliasing problems. The constraint based analysis is related directly to the abstract interpretation and therefore indirectly to the instrumented semantics.
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