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https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
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parboiled2: a macro-based approach for effective generators of parsing expressions grammars in Scala

Authors: Alexander A. Myltsev;

parboiled2: a macro-based approach for effective generators of parsing expressions grammars in Scala

Abstract

In today's computerized world, parsing is ubiquitous. Developers parse logs, queries to databases and websites, programming and natural languages. When Java ecosystem maturity, concise syntax, and runtime speed matters, developers choose parboiled2 that generates grammars for parsing expression grammars (PEG). The following open source libraries have chosen parboiled2 for parsing facilities: - akka-http is the Streaming-first HTTP server/module of Lightbend Akka - Sangria is a Scala GraphQL implementation - http4s is a minimal, idiomatic Scala interface for HTTP - cornichon is Scala DSL for testing HTTP JSON API - scala-uri is a simple Scala library for building and parsing URIs The library uses a wide range of Scala facilities to provide required functionality. We also discuss the extensions to PEGs. In particular, we show the implementation of an internal Scala DSL that features intuitive syntax and semantics. We demonstrate how parboiled2 extensively uses Scala typing to verify DSL integrity. We also show the connections to inner structures of parboiled2, which can give the developer a better understanding of how to compose more effective grammars. Finally, we expose how a grammar is expanded with Scala Macros to an effective runtime code.

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Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Programming Languages, Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
Green