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PLDI 2020
Mon 15 - Fri 19 June 2020

In this paper, we present an efficient, functional, and formally verified parsing algorithm for LL(1) context-free expressions based on the concept of derivatives of formal languages.
Parsing with derivatives is an elegant parsing technique, which, in the general case, suffers from cubic worst-case time complexity and slow performance in practice.
We specialise the parsing with derivatives algorithm to LL(1) context-free expressions, where alternatives can be chosen given a single token of lookahead.
We formalise the notion of LL(1) expressions and show how to efficiently check the LL(1) property.
Next, we present a novel linear-time parsing with derivatives algorithm for LL(1) expressions operating on a zipper-inspired data structure.
We prove the algorithm correct in Coq and present an implementation as a part of Scallion, a parser combinators framework in Scala with enumeration and pretty printing capabilities.

Fri 19 Jun

Displayed time zone: Pacific Time (US & Canada) change

06:20 - 07:40
Parsing, Debugging, and Code SearchPLDI Research Papers at PLDI Research Papers live stream
Chair(s): Dan Barowy Williams College

YouTube lightning session video

06:20
20m
Talk
Faster General Parsing through Context-Free Memoization
PLDI Research Papers
Grzegorz Herman Jagiellonian University, Poland
06:40
20m
Talk
Zippy LL(1) Parsing with Derivatives
PLDI Research Papers
Romain Edelmann EPFL, Switzerland, Jad Hamza EPFL, Switzerland, Viktor Kunčak EPFL, Switzerland
07:00
20m
Talk
Debug Information Validation for Optimized Code
PLDI Research Papers
Yuanbo Li Georgia Institute of Technology, USA, Shuo Ding Georgia Institute of Technology, USA, Qirun Zhang Georgia Institute of Technology, USA, Davide Italiano Apple, USA
07:20
20m
Talk
Semantic Code Search via Equational Reasoning
PLDI Research Papers
Varot Premtoon Massachusetts Institute of Technology, USA, James Koppel Massachusetts Institute of Technology, USA, Armando Solar-Lezama Massachusetts Institute of Technology, USA