Abstract is missing.
- Embracing Deep Variability For Reproducibility and ReplicabilityMathieu Acher, Benoît Combemale, Georges Aaron Randrianaina, Jean-Marc Jézéquel. [doi]
- The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine LearningYantong Zheng, Victoria Stodden. [doi]
- Towards Evidence-Based Software Quality Practices for Reproducibility: Practices and Aligned Software QualitiesChristian Gilbertson, Miranda Mundt, Joshua B. Teves, Simone Toribio, Reed Milewicz. [doi]
- Statistical comparison in empirical computer science with minimal computation usageTimothée Mathieu, Philippe Preux. [doi]
- Evaluating Tools for Enhancing Reproducibility in Computational Scientific ExperimentsLázaro Costa, Susana Barbosa, Jácome Cunha. [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. [doi]
- Source Code Archiving to the Rescue of Reproducible DeploymentLudovic Courtès, Timothy Sample, Stefano Zacchiroli, Simon Tournier. [doi]
- Computational Experiment Comprehension using Provenance SummarizationNichole Boufford, Joseph Wonsil, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer, Thomas Pasquier. [doi]
- MLXP: A framework for conducting replicable experiments in PythonMichael Arbel, Alexandre Zouaoui. [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. [doi]
- A benchmark suite and performance analysis of user-space provenance collectorsSamuel Grayson, Faustino Aguilar, Reed Milewicz, Daniel S. Katz, Darko Marinov. [doi]
- LogFlux: A Software Suite for Replicating Results in Automated Log ParsingGuineng Zheng, Robert Ricci, Vivek Srikumar. [doi]
- Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning PipelinesAdhithya Bhaskar, Victoria Stodden. [doi]
- Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated UsersTimo Breuer 0002, Maria Maistro. [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. [doi]