Decidable Synthesis of Programs with Uninterpreted Functions

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Abstract

We identify a decidable synthesis problem for a class of programs of unbounded size with conditionals and iteration that work over infinite data domains. The programs in our class use uninterpreted functions and relations, and abide by a restriction called coherence that was recently identified to yield decidable verification. We formulate a powerful grammar-restricted (syntax-guided) synthesis problem for coherent uninterpreted programs, and we show the problem to be decidable, identify its precise complexity, and also study several variants of the problem.

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Krogmeier, P., Mathur, U., Murali, A., Madhusudan, P., & Viswanathan, M. (2020). Decidable Synthesis of Programs with Uninterpreted Functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12225 LNCS, pp. 634–657). Springer. https://doi.org/10.1007/978-3-030-53291-8_32

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