Measuring the Runtime Performance of C++ Code Written by Humans using GitHub Copilot
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Abstract (arXiv)
GitHub Copilot is an artificially intelligent programming assistant used by many developers. While a few studies have evaluated the security risks of using Copilot, there has not been any study to show if it aids developers in producing code with better runtime performance. We evaluate the runtime performance of C++ code produced when developers use GitHub Copilot versus when they do not. To this end, we conducted a user study with 32 participants where each participant solved two C++ programming problems, one with Copilot and the other without it and measured the runtime performance of the participants' solutions on our test data. Our results suggest that using Copilot may produce C++ code with (statistically significant) slower runtime performance.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 May 2023.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llamacited by 7
- 2025A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AIcited by 1
- 2026An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Codecited by 0
- 2026Characterizing the Quality Profile of AI-Generated C++ in Productioncited by 0
- 2026Characterizing the Quality Profile of AI-Generated C++ in Production6 Aug 2026
- 2026An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code3 Mar 2026
- 2025A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI30 Oct 2025
- 2024A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama6 May 2024