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Viewing Publication 1 - 28 from 28

2024

Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated UsersTimo Breuer 0002, Maria Maistro. acmrep 2024: [doi]

Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, ACM REP 2024, Rennes, France, June 18-20, 2024ACM, 2024. [doi]

Embracing Deep Variability For Reproducibility and ReplicabilityMathieu Acher, Benoît Combemale, Georges Aaron Randrianaina, Jean-Marc Jézéquel. acmrep 2024: [doi]

MLXP: A framework for conducting replicable experiments in PythonMichael Arbel, Alexandre Zouaoui. acmrep 2024: [doi]

Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning PipelinesAdhithya Bhaskar, Victoria Stodden. acmrep 2024: [doi]

Computational Experiment Comprehension using Provenance SummarizationNichole Boufford, Joseph Wonsil, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer, Thomas Pasquier. acmrep 2024: [doi]

Evaluating Tools for Enhancing Reproducibility in Computational Scientific ExperimentsLázaro Costa, Susana Barbosa, Jácome Cunha. acmrep 2024: [doi]

Source Code Archiving to the Rescue of Reproducible DeploymentLudovic Courtès, Timothy Sample, Stefano Zacchiroli, Simon Tournier. acmrep 2024: [doi]

Towards Evidence-Based Software Quality Practices for Reproducibility: Practices and Aligned Software QualitiesChristian Gilbertson, Miranda Mundt, Joshua B. Teves, Simone Toribio, Reed Milewicz. acmrep 2024: [doi]

A benchmark suite and performance analysis of user-space provenance collectorsSamuel Grayson, Faustino Aguilar, Reed Milewicz, Daniel S. Katz, Darko Marinov. acmrep 2024: [doi]

Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023Quentin Guilloteau, Florina M. Ciorba, Millian Poquet, Dorian Goepp, Olivier Richard. acmrep 2024: [doi]

Statistical comparison in empirical computer science with minimal computation usageTimothée Mathieu, Philippe Preux. acmrep 2024: [doi]

SHORT: Can citations tell us about a paper's reproducibility? A case study of machine learning papersRochana R. Obadage, Sarah Michele Rajtmajer, Jian Wu 0006. acmrep 2024: [doi]

The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in NeuroimagingGaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop. acmrep 2024: [doi]

The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine LearningYantong Zheng, Victoria Stodden. acmrep 2024: [doi]

LogFlux: A Software Suite for Replicating Results in Automated Log ParsingGuineng Zheng, Robert Ricci, Vivek Srikumar. acmrep 2024: [doi]

2023

Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, ACM-REP 2023, Santa Cruz, CA, USA, June 27-29, 2023ACM, 2023. [doi]

We Need More Reproducibility Content Across the Computer Science CurriculumFraida Fund. acmrep 2023: 97-101 [doi]

Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core RegistriesSamuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz. acmrep 2023: 74-84 [doi]

GTP Benchmarks for Gradual Typing PerformanceBen Greenman. acmrep 2023: 102-114 [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. acmrep 2023: 37-61 [doi]

Fingerprinting and Building Large Reproducible DatasetsRomain Lefeuvre, Jessie Galasso, Benoît Combemale, Houari A. Sahraoui, Stefano Zacchiroli. acmrep 2023: 27-36 [doi]

Towards Evidence-Based Software Quality Practices for Reproducibility: Preliminary Results and Research DirectionsReed Milewicz, Miranda Mundt. acmrep 2023: 85-88 [doi]

A Siren Song of Open Source Reproducibility, Examples from Machine LearningEdward Raff, Andrew L. Farris. acmrep 2023: 115-120 [doi]

Does the Market of Citations Reward Reproducible Work?Edward Raff. acmrep 2023: 89-96 [doi]

KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud ExperimentsDaniel Rosendo, Kate Keahey, Alexandru Costan, Matthieu Simonin, Patrick Valduriez, Gabriel Antoniu. acmrep 2023: 62-73 [doi]

Towards Reproducible Execution of Closed-Source Applications from Internet ArchivesMahadev Satyanarayanan, Jan Harkes, James Blakley. acmrep 2023: 15-26 [doi]

Integrated Reproducibility with Self-describing Machine Learning ModelsJoseph Wonsil, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock. acmrep 2023: 1-14 [doi]

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