Deductive runtime certification
Konstantine Arkoudas and Martin Rinard
Abstract:
This paper introduces a notion of certified computation whereby an algorithm not
only produces a result r for a given input x, but also proves that r is a correct
result for x. This can greatly enhance the credibility of the result: if we trust the
axioms and inference rules that are used in the proof, then we can be assured that r
is correct. Typically, the reasoning used in a certified computation is much simpler
than the computation itself. We present and analyze two examples of certifying
algorithms.
We have developed denotational proof languages (DPLs) as a uniform platform for
certified computation. DPLs integrate computation and deduction seamlessly, offer
strong soundness guarantees, and provide versatile mechanisms for constructing
proofs and proof-search methods. We have used DPLs to implement numerous
well-known algorithms as certifiers, ranging from sorting algorithms to compiler
optimizations, the Hindley-Milner W algorithm, Prolog engines, and more.
BibTeX Entry
@Inproceedings{RV2004ArkoudasAndRinard,
author ={K. Arkoudas and M. Rinard},
title ={Deductive runtime certification},
booktitle ={Proceedings of the 2004 Workshop on Runtime
Verification (RV 2004)},
address = {Barcelona, Spain},
month ={April},
year ={2004}}
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