University of Twente Student Theses


Rosetta ANTLR: Ultimate Grammar Extractor

Wal, Ewout van der (2021) Rosetta ANTLR: Ultimate Grammar Extractor.

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Abstract:Parsers, and the grammars used to express them, have become geared towards solving for ambiguous parsing paths by using look-ahead and control structures such as semantic predicates to decide a language. This creates a problem when attempting to extract a grammar to a generalized structure for use in grammar comparison. While there is an existing ANTLR to BGF extractor, this implementation is outdated and generalizes away semantic information during the extraction process. We perform a replication for the tool for use with ANTLR4 and create a novel enhanced extraction methodology that improves the accuracy of the extractor. In the future, this would allow for more accurate analysis of grammars written in ANTLR.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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