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Lemma Synthesis for Automating Induction over Algebraic Data Types

Author(s): Yang, Weikun; Fedyukovich, Grigory; Gupta, Aarti

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Abstract: In this paper we introduce a new approach for proving quantified theorems over inductively defined data-types. We present an automated prover that searches for a sequence of simplifications and transformations to prove the validity of a given theorem, and in the absence of required lemmas, attempts to synthesize supporting lemmas based on terms and expressions witnessed during the search for a proof. The search for lemma candidates is guided by a user-specified template, along with many automated filtering mechanisms. Validity of generated lemmas is checked recursively by our prover, supported by an off-the-shelf SMT solver. We have implemented our prover called AdtInd and show that it is able to solve many problems on which a state-of-the-art prover fails.
Publication Date: 2019
Citation: Yang, Weikun, Grigory Fedyukovich, and Aarti Gupta. "Lemma Synthesis for Automating Induction over Algebraic Data Types." In International Conference on Principles and Practice of Constraint Programming, pp. 600-617. doi:10.1007/978-3-030-30048-7_35
DOI: 10.1007/978-3-030-30048-7_35
ISSN: 0302-9743
EISSN: 1611-3349
Pages: 600 - 617
Type of Material: Conference Article
Journal/Proceeding Title: International Conference on Principles and Practice of Constraint Programming
Version: Author's manuscript



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