How do software ecosystems evolve? a quantitative assessment of the r ecosystem.

Konstantinos Plakidas, S. Stevanetic, D. Schall, Tudor B. Ionescu, Uwe Zdun
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引用次数: 16

Abstract

In this work we advance the understanding of software eco-systems research by examining the structure and evolution of the R statistical computing open-source ecosystem. Our research attempts to shed light on the following intriguing question: what makes software ecosystems successful? The approach we follow is to perform a quantitative analysis of the R ecosystem. R is a well-established and popular ecosystem, whose community and marketplace are steadily growing. We assess and quantify the ecosystem throughout its history, and derive metrics on its core software components, the marketplace as well as its community. We use our insights to make observations that are applicable to ecosystems in general, validate existing theories from the literature, and propose a predictive model for the evolution of software packages. Our results show that the success of the ecosystem relies on a strong commitment by a small core of users who support a large and growing community.
软件生态系统是如何进化的?生态系统的定量评价。
在这项工作中,我们通过研究R统计计算开源生态系统的结构和演变,促进了对软件生态系统研究的理解。我们的研究试图揭示以下有趣的问题:是什么让软件生态系统成功?我们遵循的方法是对R生态系统进行定量分析。R是一个成熟且受欢迎的生态系统,其社区和市场正在稳步增长。我们评估和量化整个生态系统的历史,并得出其核心软件组件、市场以及社区的指标。我们使用我们的见解来观察适用于生态系统的一般情况,验证文献中的现有理论,并提出软件包进化的预测模型。我们的研究结果表明,生态系统的成功依赖于一小部分核心用户的坚定承诺,这些用户支持着一个庞大且不断增长的社区。
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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