Artifacts: Statistical Confidence in Functional Correctness: An Approach for AI Product Functional Correctness Evaluation

This repository contains the supplementary materials for the paper “Statistical Confidence in Functional Correctness: An Approach for AI Product Functional Correctness Evaluation”, submitted to CAIN 2026. The included .zip archive includes the interview transcripts, the Miro board used during the evaluation sessions, and a runnable mock example of the proposed approach. Filename Description Transcription Interview - P1.pdf Transcript of the P1 interview. Transcription Interview - P2.pdf Transcript of the P2 interview. Transcription Interview - P3.pdf Transcript of the P3 interview. Transcription Interview - P4.pdf Transcript of the P4 interview. SCFC Miro Board.pdf PDF export of the Miro board used during participant evaluations. SCFC_Approach_Example.ipynb A Jupyter notebook containing a mock example of the proposed approach, runnable on Google Colab (or locally, if all required libraries are installed).