ReproScore: Separating Readiness from Outcome in Research Software Reproducibility Assessment

• URL: http://arxiv.org/abs/2605.13275v1
• Date: Wed, 13 May 2026 09:54:06 GMT
• Title: ReproScore: Separating Readiness from Outcome in Research Software Reproducibility Assessment
• Abstract summary: Digital libraries curate millions of research software artefacts yet lack scalable infrastructure for assessing whether those artefacts remain executable.<n>We present ReproScore, a two-tier framework that explicitly separates readiness (RRS) from outcome (ROS)<n>RRS comprises 26 sub-metrics across five categories; ROS provides execution-based probes when sandbox infrastructure is available; a community externalises weighting priorities as versioned YAML profiles.
• Score: 0.9623578875486184
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Digital libraries curate millions of research software artefacts yet lack scalable infrastructure for assessing whether those artefacts remain executable. Existing automated assessment tools treat static repository completeness -- what a repository contains -- as a proxy for execution success -- whether it runs. We term this the readiness-outcome conflation and present ReproScore, a two-tier framework that explicitly separates reproducibility readiness (RRS) from reproducibility outcome (ROS), combining them into a coverage-adaptive Composite Score (RCS). RRS comprises 26 sub-metrics across five categories; ROS provides execution-based probes when sandbox infrastructure is available; a community rubric externalises weighting priorities as versioned YAML profiles. Evaluated on 423 GitHub repositories from a large-scale ground-truth corpus spanning five failure modes, two complementary findings emerge: the environment category strongly discriminates failure mode, confirming static signals capture meaningful structural differences; yet RRS exhibits near-zero binary success correlation, empirically quantifying the readiness-outcome gap at repository scale. Together, these findings validate the architectural separation as both necessary and non-trivial, positioning ReproScore as scalable infrastructure for reproducibility-aware curation in digital library workflows.

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