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On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

Research article (2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023) · cited 123× · AI/ML
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On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

Summary

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot is a scholarly article[1].

Key Facts

  • On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-robustness-of-code-generation-techniques-an-empirical-study-on-github-copilot
MLA “On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-robustness-of-code-generation-techniques-an-empirical-study-on-github-copilot.
BibTeX @misc{4ortxyz_on-the-robustness-of-code-generation-techniques-an-empirical-study-on-github-copilot_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-robustness-of-code-generation-techniques-an-empirical-study-on-github-copilot}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot — https://4ort.xyz/entity/on-the-robustness-of-code-generation-techniques-an-empirical-study-on-github-copilot (retrieved 2026-05-24)

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