Software ecosystems are large collections of software packages that depend on each other and co-evolve. Examples include the Java Maven repository, the Ruby Gem repository and SqueakSource. However, one might consider that software ecosystems are formed implicitly through the sharing of resources; when a developer contributes to more that one repositories of the same language, he is effectively creating a dependency link between those projects. The link is the participation to the project's team.

The purpose of this work is:

  • To conduct a large scale evolutionary analysis for language ecosystems, including visualization

  • To identify key moments in an ecosystem's lifetime, through visualization or using automated means

  • To assess through a survival analysis what would happen if key projects in the ecosystem were abandoned

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