Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
The study reveals a gap between reviewers'intentions and actual reviewing behaviour, highlighting the need for software companies to revisit their AI policies to better support developers in reviewing LLM-generated code.
Ranim Khojah, F. D. de Oliveira, Mazen Mohamad et al.
· arXiv.org · 0 citations