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Natural Language to Code: How Far Are We?

Research article (Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023) · cited 20× · AI/ML
academia openalex:W4389162224
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Natural Language to Code: How Far Are We?

Summary

Natural Language to Code: How Far Are We? is a scholarly article[1].

Key Facts

  • Natural Language to Code: How Far Are We?'s instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Natural Language to Code: How Far Are We?. Retrieved May 24, 2026, from https://4ort.xyz/entity/natural-language-to-code-how-far-are-we
MLA “Natural Language to Code: How Far Are We?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/natural-language-to-code-how-far-are-we.
BibTeX @misc{4ortxyz_natural-language-to-code-how-far-are-we_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Natural Language to Code: How Far Are We?}}, year = {2026}, url = {https://4ort.xyz/entity/natural-language-to-code-how-far-are-we}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Natural Language to Code: How Far Are We? — https://4ort.xyz/entity/natural-language-to-code-how-far-are-we (retrieved 2026-05-24)

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