2025/04/01 by Klaus Kraßnitzer, Kraßnitzer, Klaus
Computer Science · Decision Sciences · Materials Science · #Distributed #FOS: Computer and information sciences #Machine Learning in Materials Science #Parallel #Scientific Computing and Data Management #Software Engineering Research #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2504.00876
openalex publication_date 2025/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This report summarizes the findings of the AutoAppendix project, conducted during the UCSC OSPO Summer of Reproducibility 2024. The project involved a evaluation of reproducibility artifacts submitted to SC24, focusing on their deployability and robustness on the Chameleon Cloud platform. This technical report aims to inform and support the reproducibility community by sharing observed challenges, patterns, and best practices. Furthermore, we share templates developed for Chameleon Cloud's Jupyter interface that are intended to assist future authors and reviewers in streamlining artifact evaluation workflows.