Can you Trust your Data?
AbstractA 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.
How to Cite
Ørbæk, P. (1995). Can you Trust your Data?. BRICS Report Series, 2(24). https://doi.org/10.7146/brics.v2i24.19926
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