Hybrid intelligence effort for software effort estimation in LLM assisted development
A controlled experiment with 22 developers, 110 real-world tasks and three LLMs proposed Hybrid Intelligence Effort, combining model work with human oversight. Story Points retained partial value, but validation and corrective intervention dominated effort; HIE dimensions reportedly explained about 72-80% of observed variance. Results may vary by model, team and task.