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oopsla-reproducibility
Use when hardening an OOPSLA paper's empirical claims to the SIGPLAN Empirical Evaluation Guidelines — managed-runtime measurement discipline, warmup and variance reporting, corpus and benchmark provenance, environment pinning, and a Data-Availability Statement that the eventual artifact can actually honor.
OOPSLA-Skills/skills/oopsla-reproducibility/SKILL.md
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# OOPSLA Reproducibility
OOPSLA carries a particular historical burden here: the venue itself
published the papers showing that sloppy runtime measurement produces wrong
conclusions — Georges, Buytaert & Eeckhout's statistical-rigor paper (OOPSLA
2007) and the DaCapo suite's methodology argument (OOPSLA 2006); see
`resources/exemplars/library.md`. Reviewers steeped in that lineage apply the
SIGPLAN Empirical Evaluation Guidelines
(`sigplan.org/Resources/EmpiricalEvaluation/`) as a working checklist, and
the two-round model gives them a Minor/Major Revision lever to demand rigor
rather than merely complain about it. Reproducibility work done before
Round N is cheaper than the revision it preempts.
## The four guideline pillars, operationalized