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Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot

Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot

Ionut Daniel Fagadau
Leonardo Mariani
D. Micucci
O. Riganelli
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Papers citing "Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot"

4 / 4 papers shown
Title
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
Antonio Della Porta
Stefano Lambiase
Fabio Palomba
19
0
0
18 Apr 2025
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
Agnia Sergeyuk
Ilya Zakharov
Ekaterina Koshchenko
M. Izadi
58
0
0
08 Mar 2025
On the effectiveness of Large Language Models for GitHub Workflows
On the effectiveness of Large Language Models for GitHub Workflows
Xinyu Zhang
Siddharth Muralee
Sourag Cherupattamoolayil
Aravind Machiry
28
2
0
19 Mar 2024
Grounded Copilot: How Programmers Interact with Code-Generating Models
Grounded Copilot: How Programmers Interact with Code-Generating Models
Shraddha Barke
M. James
Nadia Polikarpova
146
212
0
30 Jun 2022