Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode’s User Experience

Author:

Vaithilingam Priyan1,Glassman Elena L.1,Groenwegen Peter2,Gulwani Sumit2,Henley Austin Z.2,Malpani Rohan2,Pugh David2,Radhakrishna Arjun2,Soares Gustavo2,Wang Joey2,Yim Aaron2

Affiliation:

1. Harvard University

2. Microsoft

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessing the Use of GitHub Copilot on Students of Engineering of Information Systems;International Journal of Software Engineering and Knowledge Engineering;2024-08-24

2. Generating and Reviewing Programming Codes with Large Language Models: A Systematic Mapping Study;Proceedings of the 20th Brazilian Symposium on Information Systems;2024-05-20

3. How Beginning Programmers and Code LLMs (Mis)read Each Other;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. NotebookGPT – Facilitating and Monitoring Explicit Lightweight Student GPT Help Requests During Programming Exercises;Companion Proceedings of the 29th International Conference on Intelligent User Interfaces;2024-03-18

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