ACM-REP

Keyphrases

Publications

2023

Joseph Wonsil, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock
Integrated Reproducibility with Self-describing Machine Learning Models. ACM-REP (2023)
Mahadev Satyanarayanan, Jan Harkes, James Blakley
Towards Reproducible Execution of Closed-Source Applications from Internet Archives. ACM-REP (2023)
Edward Raff
Does the Market of Citations Reward Reproducible Work? ACM-REP (2023)
Romain Lefeuvre, Jessie Galasso, Benoît Combemale, Houari A. Sahraoui, Stefano Zacchiroli
Fingerprinting and Building Large Reproducible Datasets. ACM-REP (2023)
Fraida Fund
We Need More Reproducibility Content Across the Computer Science Curriculum. ACM-REP (2023)
Reed Milewicz, Miranda Mundt
Towards Evidence-Based Software Quality Practices for Reproducibility: Preliminary Results and Research Directions. ACM-REP (2023)
Ben Greenman
GTP Benchmarks for Gradual Typing Performance. ACM-REP (2023)
Odd Erik Gundersen, Saeid Shamsaliei, Håkon Sletten Kjærnli, Helge Langseth
On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness. ACM-REP (2023)
Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, ACM-REP 2023, Santa Cruz, CA, USA, June 27-29, 2023 ACM-REP (2023)
Edward Raff, Andrew L. Farris
A Siren Song of Open Source Reproducibility, Examples from Machine Learning. ACM-REP (2023)
Samuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz
Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries. ACM-REP (2023)
Daniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments. ACM-REP (2023)