A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions

25 May 2024

Papers citing "A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions"

7 / 7 papers shown

Title
Risk Assessment Framework for Code LLMs via Leveraging Internal States Yuheng Huang Lei Ma Keizaburo Nishikino Takumi Akazaki 39 0 0 20 Apr 2025
Conversational AI as a Coding Assistant: Understanding Programmers' Interactions with and Expectations from Large Language Models for Coding Mehmet Akhoroz Caglar Yildirim ELM 39 0 0 14 Mar 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
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn Vahid Majdinasab Amin Nikanjam Foutse Khomh 40 1 0 11 Jul 2024
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction Ryan Yen Jiawen Zhu Sangho Suh Haijun Xia Jian Zhao 46 14 0 12 Oct 2023
Grounded Copilot: How Programmers Interact with Code-Generating Models Shraddha Barke M. James Nadia Polikarpova 167 309 0 30 Jun 2022
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 102 177 0 13 May 2022