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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/elconr...
Article . 2021 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Syntax Error Search Using Parser Combinators

Authors: Georgii Firsov; Mikhail Kuznetsov;

Syntax Error Search Using Parser Combinators

Abstract

Parser combinators is a popular approach to parsing sequences generated by context-free grammars, which can be specialized data formats (e.g. JSON, YAML), markup languages like XML or HTML. At the same time, this approach is rarely used for parsing programming languages.The purpose of this paper is to study the application of parser combinators for programming languages processing, and more precisely for searching of syntax errors. The method that had been developed during this research was compared with an algorithm of syntax analysis of programming languages using parser-generators. Parser combinator takes less time on average to find a syntax error in the source code. Its average time complexity is linear with respect to the length of the input sequence, while the parser generator has an average quadratic complexity. Moreover, a parser combinator requires less memory than a parser generator.These results can be used for building intelligent code completion tools for fast syntax error detection.

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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