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Resources on Machine Learning for Big Code and Naturalness |
- Tutorial: An Introduction to Learning from Programs by Marc Brockschmidt in VMCAI Winter School 2019 [slides].
- Tutorial: Modelling Natural Language, Programs, and their Intersection in NAACL HLT 2018, 1 June 2018, New Orleans, LA, USA [slides] [video]
Some resources about Big Code and Naturalness can be found at learnbigcode.github.io. A list of datasets used in this area can be found at the appendix of the survey and at learnbigcode.github.io.
A few university courses are been taught covering aspects of machine learning for code, big code or naturalness of code. Below there are a few that have publicly available material.
- Analyzing Software using Deep Learning in University of Stuttgart [videos]
- Seminars on Applications of Deep Learning in Software Engineering and Programming Languages in U.C. Berkeley
- Machine learning for programming in the University of Cambridge, UK
- Deep Learning for Symbolic Reasoning in Purdue University
- Machine Learning for Software Engineering in TU Delft
Please, feel free to submit a pull request to adding more links in this page.
The last few years a few workshops have been organized in this area. Please, feel free to add any missing or future workshops here.
- Deep Learning for Code April 29 2022, ICLR 2022, virtual
- NLP4Prog Workshop 6 August 2021, ACL 2021, virtual
- Workshop on Computer-Assisted Programming 12 December 2020, NeurIPS 2020, virtual
- ML on Code devroom at FOSDEM19 2-3 February 2019, Brussels, EU [videos]
- Machine Learning for Programming 18–19 July 2018, Oxford, UK [videos]
- International Workshop on Machine Learning techniques for Programming Languages 16 - 21 July 2018 Amsterdam, Netherlands
- Workshop on Machine Learning and Programming Languages in PLDI 18 - 22 June 2018, Philadelphia, PA, USA
- Workshop on NLP for Software Engineering 4 February 2018, New Orleans, LA, USA
- The 55th CREST Open Workshop - Bimodal Program Analysis 30-31 October 2017, London, UK
- Workshop on NLP for Software Engineering 13 November 2016, Seattle, WA, USA
- Programming with "Big Code" 15-18 November 2015, Dagstuhl, Germany
- Sofware Analysis at Univ. of Pennsylvania. It is a great introduction to Program Analysis [videos]
- Program Analysis at University of Stuttgart [videos]
- Applications of Data Science for Software Engineering 2020 at Eindhoven University of Technology.
- nlc2cmd in NeurIPS 2020 by Project CLAI. Starts July 2020.
- CodeSearchNet Challenge: Evaluating the State of Semantic Code Search by Github. Starts Sep 2019.
- CodRep 2019: Machine Learning on Source Code Competition by KTH. Starts on April 25th 2019.
- CodRep 2018: Machine Learning on Source Code Competition by KTH. Starts on April 14th 2018.
- source{d} has collected a set of links and papers in the area. You can access the list here.
- Autormated Program Repair has a curated list of pointers for helping newcomers to understan the field, maintained by Martin Monperrus.