Is GitHub Copilot a Substitute for Human Pair-programming? An Empirical Study

Author:

Imai Saki1

Affiliation:

1. Colby College,Waterville,Maine,USA

Publisher

IEEE

Reference11 articles.

1. An Empirical Study on the Usage of Transformer Models for Code Completion

2. Evaluating large language models trained on code;chen,2021

3. Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming;sobania,2021

4. How are Java software developers using the Elipse IDE?

5. Ai-based software defect predictors: Applications and benefits in a case study;tosun;Twenty-Second IAAI Conference,2010

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1. Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot;International Journal of Software Engineering and Knowledge Engineering;2023-10-17

2. Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2023-05

3. CCTEST: Testing and Repairing Code Completion Systems;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

4. Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

5. On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

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