A generalized model for visualizing library popularity, adoption, and diffusion within a software ecosystem

2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2018-03-20 DOI:10.1109/SANER.2018.8330217

R. Kula, Coen De Roover, D. Germán, T. Ishio, Katsuro Inoue

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引用次数: 20

Abstract

The popularity of super repositories such as Maven Central and the CRAN is a testament to software reuse activities in both open-source and commercial projects alike. However, several studies have highlighted the risks and dangers brought about by application developers keeping dependencies on outdated library versions. Intelligent mining of super repositories could reveal hidden trends within the corresponding software ecosystem and thereby provide valuable insights for such dependency-related decisions. In this paper, we propose the Software Universe Graph (SUG) Model as a structured abstraction of the evolution of software systems and their library dependencies over time. To demonstrate the SUG's usefulness, we conduct an empirical study using 6,374 Maven artifacts and over 6,509 CRAN packages mined from their real-world ecosystems. Visualizations of the SUG model such as ‘library coexistence pairings’ and ‘dependents diffusion’ uncover popularity, adoption and diffusion patterns within each software ecosystem. Results show the Maven ecosystem as having a more conservative approach to dependency updating than the CRAN ecosystem.

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一个用于可视化库在软件生态系统中的流行、采用和扩散的通用模型

超级存储库(如Maven Central和CRAN)的流行是开源和商业项目中软件重用活动的证明。然而，一些研究强调了应用程序开发人员依赖过时的库版本所带来的风险和危险。对超级存储库的智能挖掘可以揭示相应软件生态系统中隐藏的趋势，从而为此类依赖相关的决策提供有价值的见解。在本文中，我们提出软件宇宙图(SUG)模型作为软件系统及其库依赖关系随时间演变的结构化抽象。为了证明SUG的有用性，我们进行了一项实证研究，使用了6,374个Maven工件和超过6,509个从它们的真实生态系统中挖掘出来的CRAN包。SUG模型的可视化，如“库共存配对”和“依赖扩散”，揭示了每个软件生态系统中的流行、采用和扩散模式。结果显示，Maven生态系统在依赖项更新方面比CRAN生态系统更保守。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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