ACM-REP

Publications

2024

Rochana R. Obadage, Sarah Michele Rajtmajer, Jian Wu
SHORT: Can citations tell us about a paper's reproducibility? A case study of machine learning papers. ACM-REP (2024)
Samuel Grayson, Faustino Aguilar, Reed Milewicz, Daniel S. Katz, Darko Marinov
A benchmark suite and performance analysis of user-space provenance collectors. ACM-REP (2024)
Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM-REP (2024)
Adhithya Bhaskar, Victoria Stodden
Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning Pipelines. ACM-REP (2024)
Lázaro Costa, Susana Barbosa, Jácome Cunha
Evaluating Tools for Enhancing Reproducibility in Computational Scientific Experiments. ACM-REP (2024)
Mathieu Acher, Benoît Combemale, Georges Aaron Randrianaina, Jean-Marc Jézéquel
Embracing Deep Variability For Reproducibility and Replicability. ACM-REP (2024)
Ludovic Courtès, Timothy Sample, Stefano Zacchiroli, Simon Tournier
Source Code Archiving to the Rescue of Reproducible Deployment. ACM-REP (2024)
Quentin Guilloteau, Florina M. Ciorba, Millian Poquet, Dorian Goepp, Olivier Richard
Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023. ACM-REP (2024)
Timo Breuer, Maria Maistro
Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated Users. ACM-REP (2024)
Nichole Boufford, Joseph Wonsil, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer, Thomas Pasquier
Computational Experiment Comprehension using Provenance Summarization. ACM-REP (2024)
Michael Arbel, Alexandre Zouaoui
MLXP: A framework for conducting replicable experiments in Python. ACM-REP (2024)
Timothée Mathieu, Philippe Preux
Statistical comparison in empirical computer science with minimal computation usage. ACM-REP (2024)
Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, ACM REP 2024, Rennes, France, June 18-20, 2024 ACM-REP (2024)
Yantong Zheng, Victoria Stodden
The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning. ACM-REP (2024)
Guineng Zheng, Robert Ricci, Vivek Srikumar
LogFlux: A Software Suite for Replicating Results in Automated Log Parsing. ACM-REP (2024)
Christian Gilbertson, Miranda Mundt, Joshua B. Teves, Simone Toribio, Reed Milewicz
Towards Evidence-Based Software Quality Practices for Reproducibility: Practices and Aligned Software Qualities. ACM-REP (2024)

2023