A derivative-based parser generator for visibly Pushdown grammars

Xiaodong Jia, Ashish Kumar, Gang Tan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this paper, we present a derivative-based, functional recognizer and parser generator for visibly pushdown grammars. The generated parser accepts ambiguous grammars and produces a parse forest containing all valid parse trees for an input string in linear time. Each parse tree in the forest can then be extracted also in linear time. Besides the parser generator, to allow more flexible forms of the visibly pushdown grammars, we also present a translator that converts a tagged CFG to a visibly pushdown grammar in a sound way, and the parse trees of the tagged CFG are further produced by running the semantic actions embedded in the parse trees of the translated visibly pushdown grammar. The performance of the parser is compared with a popular parsing tool ANTLR and other popular hand-crafted parsers. The correctness of the core parsing algorithm is formally verified in the proof assistant Coq.

Original languageEnglish (US)
Article number151
JournalProceedings of the ACM on Programming Languages
Volume5
Issue numberOOPSLA
DOIs
StatePublished - Oct 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Safety, Risk, Reliability and Quality

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