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A Prediction Model of the Project Life-Span in Open Source Software Ecosystem

机译:开源软件生态系统中项目寿命的预测模型

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摘要

In nature ecosystems, animal life-spans are determined by genes and some other biological characteristics. Similarly, the software project life-spans are related to some internal or external characteristics. Analyzing the relations between these characteristics and the project life-span, may help developers, investors, and contributors to control the development cycle of the software project. The paper provides an insight on the project life-span for a free open source software ecosystem. The statistical analysis of some project characteristics in GitHub is presented, and we find that the choices of programming languages, the number of files, the label format of the project, and the relevant membership expressions can impact the life-span of a project. Based on these discovered characteristics, we also propose a prediction model to estimate the project life-span in open source software ecosystems. These results may help developers reschedule the project in open source software ecosystem.
机译:在自然生态系统中,动物的寿命由基因和其他一些生物学特性决定。同样,软件项目的寿命与某些内部或外部特征有关。分析这些特征与项目寿命之间的关系,可以帮助开发人员,投资者和贡献者控制软件项目的开发周期。本文提供了关于免费开源软件生态系统的项目寿命的见解。对GitHub中某些项目特征进行了统计分析,我们发现编程语言的选择,文件的数量,项目的标签格式以及相关的成员资格表达会影响项目的寿命。基于这些发现的特征,我们还提出了一个预测模型,以估计开源软件生态系统中的项目寿命。这些结果可能有助于开发人员在开源软件生态系统中重新计划项目。

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