Problem
Research questions and friction points this paper is trying to address.
cross-ecosystem packages
source code architecture
project health metrics
Cross-Ecosystem Packages As Multilingual: Prevalence, Architecture, and Health
🤖 AI Summary
研究了跨生态系统软件包的普遍性、架构模式及其与项目健康度的关系，通过分析六大生态系统中的六百万个软件包，识别出五种架构模式。
📝 Abstract
Modern software development increasingly relies on using multiple programming languages. Some software packages are published to multiple package ecosystems such as NPM for JavaScript and PyPI for Python. Little is known about cross-ecosystem packages, especially regarding how they are structured. In this paper, we conduct a large-scale empirical study of over six million packages across six major ecosystems to understand 1) how prevalent cross-ecosystem packages are among all packages, 2) whether there are distinct source code architectural patterns that cross-ecosystem packages use, and 3) whether there are correlations between architectural patterns and project health metrics from GitHub. Results indicate that cross-ecosystem packages constitute a small but important, growing fraction of packages. We identify five distinct architectural patterns. For example, packages that implement code generation from a shared source file or use language bindings are associated with significantly higher community visibility and development activity. Based on our findings, we provide implications for package adopters, maintainers, and researchers. We envision our taxonomy being used for future investigations into several aspects of software development, such as the trade-offs between focusing on one language and translating to other languages using bindings, templating, and wrappers, versus using native code and native functions to support additional languages.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Cross-Ecosystem Packages
Architectural Patterns
Project Health Metrics
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