Is GitHub Copilot a Substitute for Human Pair-programming? An Empirical Study
Author:
Affiliation:
1. Colby College,Waterville,Maine,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9793374/9793729/09793778.pdf?arnumber=9793778
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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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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