The DOI matches its Crossref record, with a small difference in title or year; 84 of the 91 references it cites were found in a registry or an index, and 2 are not checked yet.
Big code != big vocabulary: open-vocabulary models for source code
Open accessAbstract
Statistical language modeling techniques have successfully been applied to large source code corpora, yielding a variety of new software development tools, such as tools for code suggestion, improving readability, and API migration. A major issue with these techniques is that code introduces new vocabulary at a far higher rate than natural language, as new identifier names proliferate. Both large vocabularies and out-of-vocabulary issues severely affect Neural Language Models (NLMs) of source code, degrading their performance and rendering them unable to scale.
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Metadata
- Authors
- Karampatsis, R.-M., Babii, H., Robbes, R., Sutton, C., & Janes, A.
- Affiliations
- University of Edinburgh (GB)
- Free University of Bozen-Bolzano (IT)
- Google (United States) (US)
- Venue
- Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
- Publisher
- ACM
- Published
- 2020-06-27
- Pages
- 1073-1085
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W3011564318
- Cited by
- 182
- References
- 91
- Citations by year
- 2026: 3 · 2025: 14 · 2024: 19 · 2023: 26 · 2022: 51 · 2021: 48 · 2020: 20
- FWCI
- 27.87
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- Open Research (University of Surrey) (submittedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- ADVERB
- IDEALS
- Engineering and Physical Sciences Research Council (,EP/L016427/1)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- neural language models, vocabulary size, out-of-vocabulary words, identifier names, code completion, API migration, code readability
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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