Experimental Materials and Dataset - "Literature-Grounded Generation of README Files with Large Language Models: A Dual Human–LLM Evaluation"
This is the complete replication package for the ISE 2026 paper "Literature-Grounded Generation of README Files with Large Language Models: A Dual Human–LLM Evaluation". It contains every artifact behind every number reported in the paper: the prompts, the generated README files, the raw human and automated evaluations...