Using Code from ChatGPT: Finding Patterns in the Developers’ Interaction with ChatGPT
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66459-5_9
Reference20 articles.
1. Ahmad, A., Waseem, M., Liang, P., Fahmideh, M., Aktar, M.S., Mikkonen, T.: Towards human-bot collaborative software architecting with ChatGPT. In: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering (EASE ’23), pp. 279–285. Association for Computing Machinery, New York, NY, USA (2023). https://doi.org/10.1145/3593434.3593468
2. White, J., et al.: Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design. arXiv (2023)
3. Asare, O., Nagappan, M., Asokan, N.: Is Github’s copilot as bad as humans at introducing vulnerabilities in code? Empir. Softw. Engg. 28(6) (2023). https://doi.org/10.1007/s10664-023-10380-1
4. Borji, A.: A categorical archive of ChatGPT failures. arXiv (2023)
5. Champa, A.I., Rabbi, M.F., Zibran, M.F., Islam, M.R.: Insights into female contributions in open-source projects. In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 357–361. Melbourne, Australia (2023)
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