Relevance heuristics for program analysis

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Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where needed, while maintaining scalability. In this talk I will discuss the principles by which SAT solvers and other decision procedures decide what information is relevant to a given proof. Then we will see how these ideas can be exploited in program verification using the method of Craig interpolation. The result is an analysis that is finely tuned to prove a given property of a program. At the end of the talk, I will cover some recent research in this area, including the use of interpolants for verifying heap-manipulating programs. Categories and Subject Descriptors F.3.1 [Specifying and Verifying and Reasoning about Programs]: Mechanical verification General Terms Languages, Theory, Verification Keywords abstract interpretation, model checking, Craig interpolation Summary nalysis of programs using abstract int...
Kenneth L. McMillan
Added 03 Dec 2009
Updated 03 Dec 2009
Type Conference
Year 2008
Where POPL
Authors Kenneth L. McMillan
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