"Evaluation and Reproducibility Data for AI-Assisted Automotive Requirements Engineering"

"This supplementary dataset accompanies a study on reproducible and auditable AI-assisted requirements engineering for automotive systems. It provides the evaluation materials used to support the reported results across four automotive case studies. The dataset includes case-study source files, extraction outputs, traceability artifacts, repeated-run results used for reproducibility assessment, aggregate evaluation summaries, and a runtime software bill of materials (SBOM). These materials are intended to enable inspection of the experimental workflow, verification of the reported metrics, and partial replication of the published findings. The dataset is organized to support reviewer and reader access to per-case outputs as well as cross-case summaries. Source code is not redistributed in this dataset and is planned for separate release."