Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems

TL;DR

This large-scale empirical study investigates how cross-ecosystem libraries interconnect multiple software ecosystems, revealing contributor patterns, language usage, and potential impacts on library replacement and ecosystem integration.

Contribution

It provides the first comprehensive analysis of 1.1 million libraries across five major ecosystems, highlighting contributor diversity and multi-language implementation in cross-ecosystem libraries.

Findings

Majority of contributors come from a single ecosystem

Significant contributions originate from outside target ecosystems

Cross-ecosystem libraries often use multiple programming languages

Abstract

An increase in diverse technology stacks and third-party library usage has led developers to inevitably switch technologies. To assist these developers, maintainers have started to release their libraries to multiple technologies, i.e., a cross-ecosystem library. Our goal is to explore the extent to which these cross-ecosystem libraries are intertwined between ecosystems. We perform a large-scale empirical study of 1.1 million libraries from five different software ecosystems, i.e., PyPI for Python, CRAN for R, Maven for Java, RubyGems for Ruby, and NPM for JavaScript to identify 4,146 GitHub projects that release libraries to these five ecosystems. Analyzing their contributions, we first find that a significant majority (median of 37.5%) of contributors of these cross-ecosystem libraries come from a single ecosystem, while also receiving a significant portion of contributions (median of 24.06%) from outside their target ecosystems. We also find that a cross-ecosystem library is written using multiple programming languages. Specifically, three (i.e., PyPI, CRAN, RubyGems) out of the five ecosystems has the majority of source code is written using languages not specific to that ecosystem. As ecosystems become intertwined, this opens up new avenues for research, such as whether or not cross-ecosystem libraries will solve the search for replacement libraries, or how these libraries fit within each ecosystem just to name a few.