Eye-tracking experiment finds that labeling code as LLM-generated increases fixation time without changing review thoroughness, with reviewers adapting criteria or using the prompt.
IEEE Transactions on Software Engineering (2026), 1–18
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Calls for a new paradigm in software engineering where machines support causal reasoning rather than only prediction from data patterns.
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Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
Eye-tracking experiment finds that labeling code as LLM-generated increases fixation time without changing review thoroughness, with reviewers adapting criteria or using the prompt.
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Reasoning Beyond Prediction: From Data-Driven to Causal Software Engineering
Calls for a new paradigm in software engineering where machines support causal reasoning rather than only prediction from data patterns.