The Recent Trends of Research on GitHub Copilot: A Systematic Review
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Risks of LLM-based code synthesis identified in primary studies include generation of incorrect code, introduction of security vulnerabilities, unnecessarily complex code completions, and reduced code maintainability.
“Risks include the generation of incorrect code, the introduc -tion of security vulnerabilities, unnecessarily complex code completions, and reduced code maintainability.”
From Echoes of AI: Investigating the downstream effects of AI assistants on software maintainability (2026) · cites this paper as Ani et al. (2024)
Cites
Vaithilingam, P., Zhang, T., & Glassman, E. L. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts · doi:10.1145/3491101.3519665 · Cited by 660 · see citing works
Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
Pearce, H., Ahmad, B., Tan, B., Dolan-Gavitt, B., & Karri, R. (2022) · 2022 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp46214.2022.9833571 · Cited by 476 · see citing works
An empirical evaluation of GitHub copilot's code suggestions
Nguyen, N., & Nadi, S. (2022) · Proceedings of the 19th International Conference on Mining Software Repositories · doi:10.1145/3524842.3528470 · Cited by 313 · see citing works
Productivity Assessment of Neural Code Completion
Ziegler, A., Kalliamvakou, E., Li, X. A., Rice, A., Rifkin, D., Simister, S., Sittampalam, G., & Aftandilian, E. (2022) · Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming · doi:10.1145/3520312.3534864 · Cited by 200 · see citing works
Productivity Assessment of Neural Code Completion
Ziegler, A., Kalliamvakou, E., Simister, S., Sittampalam, G., Li, A., Rice, A., Rifkin, D., & Aftandilian, E. (2022) · arXiv · doi:10.48550/arxiv.2205.06537 · Cited by 200 · see citing works
Using GitHub Copilot to Solve Simple Programming Problems
Wermelinger, M. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 · doi:10.1145/3545945.3569830 · Cited by 191 · see citing works
Is GitHub copilot a substitute for human pair-programming?: an empirical study
Imai, S. (2022) · Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings · doi:10.1145/3510454.3522684 · Cited by 116 · see citing works
An Empirical Study of Code Smells in Transformer-based Code Generation Techniques
Siddiq, M. L., Majumder, S. H., Mim, M. R., Jajodia, S., & Santos, J. C. S. (2022) · 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM) · doi:10.1109/scam55253.2022.00014 · Cited by 70 · see citing works
How Readable is Model-generated Code? Examining Readability and Visual Inspection of GitHub Copilot
Al Madi, N. (2022) · Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering · doi:10.1145/3551349.3560438 · Cited by 50 · see citing works
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Echoes of AI: Investigating the downstream effects of AI assistants on software maintainability
Borg, M., Hewett, D., Hagatulah, N., Couderc, N., Söderberg, E., Graham, D., Kini, U., & Farley, D. (2026) · Empirical Software Engineering · doi:10.1007/s10664-026-10889-1 · Cited by 4 · see citing works
- Authors
- Ani, Z. C., Hamid, Z. A., & Zhamri, N. N.
- Affiliations
- Universiti Utara Malaysia (MY)
- Corresponding author
- Ani, Zhamri Che
- ORCID
- Ani, Zhamri Che
- Venue
- Communications in Computer and Information Science
- Publisher
- Springer Nature Singapore
- Published
- 2024
- Pages
- 355-366
- ISSN
- 1865-0929 (ISSN-L)
- 1865-0937
- OpenAlex
- W4391218086
- Cited by
- 5
- References
- 9
- Citations by year
- 2025: 5
- FWCI
- 1.90
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Communications in computer and information science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
- Keywords
- GitHub Copilot, AI-assisted code generation, developer productivity, code quality, code security, programming education, research trends, research gaps
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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.
Statistics and arithmetic are recomputed, not judged.
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