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Mon 20 Jan 2020 10:30 - 10:51 at Maurepas - Program verification Chair(s): Nikhil Swamy

Parsing expression grammars (PEGs) offer a natural opportunity for building verified parser interpreters based on higher-order parsing combinators. PEGs are expressive, unambiguous, and efficient to parse in a top-down recursive descent style. We use the rich type system of the PVS specification language and verification system to formalize the metatheory of PEGs and define a reference implementation of a recursive parser interpreter for PEGs. In order to ensure termination of parsing, we define a notion of a well-formed grammar. Rather than relying on an inductive definition of parsing, we use abstract syntax trees that represent the computational trace of the parser to provide an effective proof certificate for correct parsing and ensure that parsing properties including soundness and completeness are maintained. The correctness properties are embedded in the types of the operations so that the proofs can be easily constructed from local proof obligations. Building on the reference parser interpreter, we define a packrat parser interpreter as well as an extension that is capable of semantic interpretation. Both these parser interpreters are proved equivalent to the reference one. All of the parsers are executable. The proofs are formalized in mathematical terms so that similar parser interpreters can be defined in any specification language with a type system similar to PVS.

Mon 20 Jan

CPP-2020-papers
10:30 - 11:35: CPP 2020 - Program verification at Maurepas
Chair(s): Nikhil SwamyMicrosoft Research
CPP-2020-papers10:30 - 10:51
Talk
Clement BlaudeauEcole Polytechnique, Natarajan ShankarSRI International, USA
DOI Pre-print Media Attached
CPP-2020-papers10:51 - 11:13
Talk
Tobias NipkowTechnische Universität München, Thomas SewellChalmers University of Technology, Sweden
DOI Pre-print Media Attached
CPP-2020-papers11:13 - 11:35
Talk
Thomas LetanANSSI, Yann Régis-GianasIRIF, University Paris Diderot and CNRS, France / INRIA PI.R2
DOI Pre-print Media Attached