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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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dc.contributor.authorYang, Weikun-
dc.contributor.authorFedyukovich, Grigory-
dc.contributor.authorGupta, Aarti-
dc.date.accessioned2021-10-08T19:46:40Z-
dc.date.available2021-10-08T19:46:40Z-
dc.date.issued2019en_US
dc.identifier.citationYang, 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_35en_US
dc.identifier.issn0302-9743-
dc.identifier.urihttps://www.cs.fsu.edu/~grigory/adtind.pdf-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1w243-
dc.description.abstractIn 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.en_US
dc.format.extent600 - 617en_US
dc.language.isoen_USen_US
dc.relation.ispartofInternational Conference on Principles and Practice of Constraint Programmingen_US
dc.rightsAuthor's manuscripten_US
dc.titleLemma Synthesis for Automating Induction over Algebraic Data Typesen_US
dc.typeConference Articleen_US
dc.identifier.doi10.1007/978-3-030-30048-7_35-
dc.identifier.eissn1611-3349-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceedingen_US

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