  Popular (re)use of third-party open-source software (OSS) is evidence of the
impact of hosting repositories like maven on software development today.
Updating libraries is crucial, with recent studies highlighting the associated
vulnerabilities with aging OSS libraries. The decision to migrate to a newer
library can range from trivial (security threat) to complex (assessment of work
required to accommodate the changes). By leveraging the `wisdom of the software
repository crowd' we propose a simple and efficient approach to recommending
`consented' library updates. Our Software Universe Graph (SUG) models library
dependency and update information mined from super repositories to provide
different metrics and visualizations that aid in the update decision. To
evaluate, we first constructed a SUG from 188,951 nodes of 6,374 maven unique
artifacts. Then, we demonstrate how our metrics and visualizations are applied
through real-world examples. As an extension, we show how the SUG can compare
dependencies between different super repositories. From a sample of 100 GitHub
applications, our method found that on average 79% similar overlapping
dependencies combinations exist between the maven and github super repository
universes.
