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Background: Empirical studies on widely used model-based development toolssuch as MATLAB/Simulink are limited despite the tools' importance in variousindustries.  Aims: The aim of this paper is to investigate the reproducibility of previousempirical studies that used Simulink model corpora and to evaluate thegeneralizability of their results to a newer and larger corpus, including acomparison with proprietary models.  Method: The study reviews methodologies and data sources employed in priorSimulink model studies and replicates the previous analysis using SLNET. Inaddition, we propose a heuristic for determining code-generating Simulinkmodels and assess the open-source models' similarity to proprietary models.  Results: Our analysis of SLNET confirms and contradicts earlier findings andhighlights its potential as a valuable resource for model-based developmentresearch. We found that open-source Simulink models follow good modelingpractices and contain models comparable in size and properties to proprietarymodels. We also collected and distribute 208 git repositories with over 9kcommits, facilitating studies on model evolution.  Conclusions: The replication study offers actionable insights and lessonslearned from the reproduction process, including valuable information on thegeneralizability of research findings based on earlier open-source corpora tothe newer and larger SLNET corpus. The study sheds light on noteworthyattributes of SLNET, which is self-contained and redistributable.

Replicability Study: Corpora For Understanding Simulink Models & Projects