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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Online Access: | https://arxiv.org/abs/2504.00876 |
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| _version_ | 1866913770379411456 |
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| author | Kraßnitzer, Klaus |
| author_facet | Kraßnitzer, Klaus |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00876 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AutoAppendix: Towards one-click Reproduction of Computational Artifacts Kraßnitzer, Klaus Distributed, Parallel, and Cluster Computing 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. |
| title | AutoAppendix: Towards one-click Reproduction of Computational Artifacts |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2504.00876 |