License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.13.2.20
URN: urn:nbn:de:0030-drops-191799
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/19179/
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Pradel, Michael ; Ray, Baishakhi ; Sutton, Charles ; Yahav, Eran
Weitere Beteiligte (Hrsg. etc.): Michael Pradel and Baishakhi Ray and Charles Sutton and Eran Yahav

Programming Language Processing (Dagstuhl Seminar 23062)

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dagrep_v013_i002_p020_23062.pdf (2 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 23062 "Programming Language Processing" (PLP). The seminar brought together researchers and practitioners from three communities-software engineering, programming languages, and natural language processing- providing a unique opportunity for cross-fertilization and inter-disciplinary progress. We discussed machine learning models of code, integrating learning-based and traditional program analysis, and learning from natural language information associated with software. The seminar lead to a better understanding of the commonalities and differences between natural and programming languages, and an understanding of the challenges and opportunities in industry adoption of PLP.

BibTeX - Entry

@Article{pradel_et_al:DagRep.13.2.20,
  author =	{Pradel, Michael and Ray, Baishakhi and Sutton, Charles and Yahav, Eran},
  title =	{{Programming Language Processing (Dagstuhl Seminar 23062)}},
  pages =	{20--32},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{2},
  editor =	{Pradel, Michael and Ray, Baishakhi and Sutton, Charles and Yahav, Eran},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/19179},
  URN =		{urn:nbn:de:0030-drops-191799},
  doi =		{10.4230/DagRep.13.2.20},
  annote =	{Keywords: ML4PL, ML4SE, Neural Software Analysis}
}

Keywords: ML4PL, ML4SE, Neural Software Analysis
Collection: DagRep, Volume 13, Issue 2
Issue Date: 2023
Date of publication: 09.10.2023

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