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cs.SE2026
ReproScore: Separating Readiness from Outcome in Research Software Reproducibility Assessment
Sheeba Samuel, Daniel Mietchen, Jungsan Kim +2
Digital libraries curate millions of research software artefacts yet lack scalable infrastructure for assessing whether those artefacts remain executable. Existing automated assess…
cs.SE2026
Containing the Reproducibility Gap: Automated Repository-Level Containerization for Scholarly Jupyter Notebooks
Sheeba Samuel, Daniel Mietchen, Hemanta Lo +1
Computational reproducibility is fundamental to trustworthy science, yet remains difficult to achieve in practice across various research workflows, including Jupyter notebooks pub…