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Documents authored by Diekmann, Lukas

Document
Artifact
DOI: 10.4230/DARTS.6.2.17
Don't Panic! Better, Fewer, Syntax Errors for LR Parsers (Artifact)

Authors: Lukas Diekmann and Laurence Tratt

Published in: DARTS, Volume 6, Issue 2, Special Issue of the 34th European Conference on Object-Oriented Programming (ECOOP 2020)

Abstract
This is the artefact accompanying the paper "Don't Panic! Better, Fewer, Syntax Errors for LR Parsers" by Diekmann and Tratt. It focusses on the experiment from that paper, which compares a number of different error recovery algorithms on a large corpus of data, including all the software necessary to reproduce the experiment from the paper.
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Lukas Diekmann and Laurence Tratt. Don't Panic! Better, Fewer, Syntax Errors for LR Parsers (Artifact). In Special Issue of the 34th European Conference on Object-Oriented Programming (ECOOP 2020). Dagstuhl Artifacts Series (DARTS), Volume 6, Issue 2, pp. 17:1-17:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{diekmann_et_al:DARTS.6.2.17,
  author =	{Diekmann, Lukas and Tratt, Laurence},
  title =	{{Don't Panic! Better, Fewer, Syntax Errors for LR Parsers (Artifact)}},
  pages =	{17:1--17:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2020},
  volume =	{6},
  number =	{2},
  editor =	{Diekmann, Lukas and Tratt, Laurence},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.6.2.17},
  URN =		{urn:nbn:de:0030-drops-132143},
  doi =		{10.4230/DARTS.6.2.17},
  annote =	{Keywords: Parsing, error recovery, programming languages}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2020.6
Don't Panic! Better, Fewer, Syntax Errors for LR Parsers

Authors: Lukas Diekmann and Laurence Tratt

Published in: LIPIcs, Volume 166, 34th European Conference on Object-Oriented Programming (ECOOP 2020)

Abstract
Syntax errors are generally easy to fix for humans, but not for parsers in general nor LR parsers in particular. Traditional "panic mode" error recovery, though easy to implement and applicable to any grammar, often leads to a cascading chain of errors that drown out the original. More advanced error recovery techniques suffer less from this problem but have seen little practical use because their typical performance was seen as poor, their worst case unbounded, and the repairs they reported arbitrary. In this paper we introduce the CPCT+ algorithm, and an implementation of that algorithm, that address these issues. First, CPCT+ reports the complete set of minimum cost repair sequences for a given location, allowing programmers to select the one that best fits their intention. Second, on a corpus of 200,000 real-world syntactically invalid Java programs, CPCT+ is able to repair 98.37%±0.017% of files within a timeout of 0.5s. Finally, CPCT+ uses the complete set of minimum cost repair sequences to reduce the cascading error problem, where incorrect error recovery causes further spurious syntax errors to be identified. Across the test corpus, CPCT+ reports 435,812±473 error locations to the user, reducing the cascading error problem substantially relative to the 981,628±0 error locations reported by panic mode.
Cite as

Lukas Diekmann and Laurence Tratt. Don't Panic! Better, Fewer, Syntax Errors for LR Parsers. In 34th European Conference on Object-Oriented Programming (ECOOP 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 166, pp. 6:1-6:32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{diekmann_et_al:LIPIcs.ECOOP.2020.6,
  author =	{Diekmann, Lukas and Tratt, Laurence},
  title =	{{Don't Panic! Better, Fewer, Syntax Errors for LR Parsers}},
  booktitle =	{34th European Conference on Object-Oriented Programming (ECOOP 2020)},
  pages =	{6:1--6:32},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-154-2},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{166},
  editor =	{Hirschfeld, Robert and Pape, Tobias},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2020.6},
  URN =		{urn:nbn:de:0030-drops-131630},
  doi =		{10.4230/LIPIcs.ECOOP.2020.6},
  annote =	{Keywords: Parsing, error recovery, programming languages}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2016.3
Fine-grained Language Composition: A Case Study

Authors: Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt

Published in: LIPIcs, Volume 56, 30th European Conference on Object-Oriented Programming (ECOOP 2016)

Abstract
Although run-time language composition is common, it normally takes the form of a crude Foreign Function Interface (FFI). While useful, such compositions tend to be coarse-grained and slow. In this paper we introduce a novel fine-grained syntactic composition of PHP and Python which allows users to embed each language inside the other, including referencing variables across languages. This composition raises novel design and implementation challenges. We show that good solutions can be found to the design challenges; and that the resulting implementation imposes an acceptable performance overhead of, at most, 2.6x.
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Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt. Fine-grained Language Composition: A Case Study. In 30th European Conference on Object-Oriented Programming (ECOOP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 56, pp. 3:1-3:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{barrett_et_al:LIPIcs.ECOOP.2016.3,
  author =	{Barrett, Edd and Bolz, Carl Friedrich and Diekmann, Lukas and Tratt, Laurence},
  title =	{{Fine-grained Language Composition: A Case Study}},
  booktitle =	{30th European Conference on Object-Oriented Programming (ECOOP 2016)},
  pages =	{3:1--3:27},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-014-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{56},
  editor =	{Krishnamurthi, Shriram and Lerner, Benjamin S.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2016.3},
  URN =		{urn:nbn:de:0030-drops-60975},
  doi =		{10.4230/LIPIcs.ECOOP.2016.3},
  annote =	{Keywords: JIT, tracing, language composition}
}
Document
DOI: 10.4230/DARTS.2.1.1
Fine-grained Language Composition: A Case Study (Artifact)

Authors: Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt

Published in: DARTS, Volume 2, Issue 1, Special Issue of the 30th European Conference on Object-Oriented Programming (ECOOP 2016)

Abstract
This artifact is based on: PyHyp, a language composition of PHP and Python using meta-tracing; and Eco, a language composition editor. The provided package is designed to support the experiments, case studies, and demos detailed in the companion paper.
Cite as

Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt. Fine-grained Language Composition: A Case Study (Artifact). In Special Issue of the 30th European Conference on Object-Oriented Programming (ECOOP 2016). Dagstuhl Artifacts Series (DARTS), Volume 2, Issue 1, pp. 1:1-1:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{barrett_et_al:DARTS.2.1.1,
  author =	{Barrett, Edd and Bolz, Carl Friedrich and Diekmann, Lukas and Tratt, Laurence},
  title =	{{Fine-grained Language Composition: A Case Study (Artifact)}},
  pages =	{1:1--1:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2016},
  volume =	{2},
  number =	{1},
  editor =	{Barrett, Edd and Bolz, Carl Friedrich and Diekmann, Lukas and Tratt, Laurence},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.2.1.1},
  URN =		{urn:nbn:de:0030-drops-61223},
  doi =		{10.4230/DARTS.2.1.1},
  annote =	{Keywords: JIT, tracing, language composition}
}
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