Download PDFOpen PDF in browserSaturating Sorting without Sorts18 pages•Published: May 26, 2024AbstractWe present a first-order theorem proving framework for establishing the correctness of functional programs implementing sorting algorithms with recursive data structures. We formalize the semantics of recursive programs in many-sorted first-order logic and integrate sortedness/permutation properties within our first-order formalization. Rather than focus- ing on sorting lists of elements of specific first-order theories, such as integer arithmetic, our list formalization relies on a sort parameter abstracting (arithmetic) theories and hence concrete sorts. We formalize the permutation property of lists in first-order logic so that we automatically prove verification conditions of such algorithms purely by superpositon- based first-order reasoning. Doing so, we adjust recent efforts for automating induction in saturation. We advocate a compositional approach for automating proofs by induction re- quired to verify functional programs implementing and preserving sorting and permutation properties over parameterized list structures. Our work turns saturation-based first-order theorem proving into an automated verification engine by (i) guiding automated inductive reasoning with manual proof splits and (ii) fully automating inductive reasoning in satu- ration. We showcase the applicability of our framework over recursive sorting algorithms, including Mergesort and Quicksort.Keyphrases: automated inductive reasoning, automated reasoning, automated software verification, automated theorem proving, first order theorem proving, formal methods, recursive programs, sorting algorithms, superposition calculus In: Nikolaj Bjørner, Marijn Heule and Andrei Voronkov (editors). Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning, vol 100, pages 88-105.
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