کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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401671 | 675418 | 2010 | 22 صفحه PDF | دانلود رایگان |
Interpolation is an important component of recent methods for program verification. It provides a natural and effective means for computing the separation between the sets of ‘good’ and ‘bad’ states. The existing algorithms for interpolant generation are proof-based: They require explicit construction of proofs, from which interpolants can be computed. Construction of such proofs is a difficult task. We propose an algorithm for the generation of interpolants for the combined theory of linear arithmetic and uninterpreted function symbols that does not require a priori constructed proofs to derive interpolants. It uses a reduction of the problem to constraint solving in linear arithmetic, which allows application of existing highly optimized Linear Programming solvers in a black-box fashion. We provide experimental evidence of the practical applicability of our algorithm.
Journal: Journal of Symbolic Computation - Volume 45, Issue 11, November 2010, Pages 1212-1233