DagRep.13.2.20.pdf
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Programming Language Processing (Dagstuhl Seminar 23062)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 13, Issue 2
Volume: Dagstuhl Reports, Volume 13
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-10-09
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Michael Pradel, Baishakhi Ray, Charles Sutton, and Eran Yahav. Programming Language Processing (Dagstuhl Seminar 23062). In Dagstuhl Reports, Volume 13, Issue 2, pp. 20-32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.13.2.20
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.
Subject Classification
ACM Subject Classification
- Computing methodologies → Artificial intelligence
- Computing methodologies → Machine learning
- Software and its engineering
Keywords
- ML4PL
- ML4SE
- Neural Software Analysis
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