Abstract is missing.
- Integrated Reproducibility with Self-describing Machine Learning ModelsJoseph Wonsil, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock. 1-14 [doi]
- Towards Reproducible Execution of Closed-Source Applications from Internet ArchivesMahadev Satyanarayanan, Jan Harkes, James Blakley. 15-26 [doi]
- Fingerprinting and Building Large Reproducible DatasetsRomain Lefeuvre, Jessie Galasso, Benoît Combemale, Houari A. Sahraoui, Stefano Zacchiroli. 27-36 [doi]
- On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and RandomnessOdd Erik Gundersen, Saeid Shamsaliei, Håkon Sletten Kjærnli, Helge Langseth. 37-61 [doi]
- KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud ExperimentsDaniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu. 62-73 [doi]
- Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core RegistriesSamuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz. 74-84 [doi]
- Towards Evidence-Based Software Quality Practices for Reproducibility: Preliminary Results and Research DirectionsReed Milewicz, Miranda Mundt. 85-88 [doi]
- Does the Market of Citations Reward Reproducible Work?Edward Raff. 89-96 [doi]
- We Need More Reproducibility Content Across the Computer Science CurriculumFraida Fund. 97-101 [doi]
- GTP Benchmarks for Gradual Typing PerformanceBen Greenman. 102-114 [doi]
- A Siren Song of Open Source Reproducibility, Examples from Machine LearningEdward Raff, Andrew L. Farris. 115-120 [doi]