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A Secondary Data Archive for Code-Level Debian Metrics

机译:代码级Debian指标的辅助数据归档

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摘要

In this paper, we describe a new process to collect, calculate, archive, and distribute interesting metrics for all the packages in the standard Debian GNU/Linux installation. Our method replicates and extends previous work done by other groups studying free and open source software systems (FLOSS) in three important ways. First, although there have been other previous studies that attempted to collect a large set of code-level metrics for a small set of projects, and there have been studies that generated a small set of metrics for the large Debian codebase, our project does both: we generate a larger set of metrics for the entire set of Debian packages. Second, our integration of new Debian metadata and additional code-level metrics not gathered before adds several additional layers for exploration. Finally, and most importantly, because we integrate our collection and analysis process into the automated FLOSSmole data store, we ensure timely, repeatable, and very easy comparison, replication and analysis by other groups. Thus our collection activity will continue in an automated fashion even after this paper is published, providing the foundation for additional studies to be conducted later, all freely accessible to any interested research group. After outlining our process, we discuss a few observations about the data, we outline some implications for the research community, and we present opportunities for further research.
机译:在本文中,我们描述了为标准Debian GNU / Linux安装中的所有包收集,计算,归档和分发有趣的指标的新进程。我们的方法通过三种重要方式复制并扩展以三种重要和开源软件系统(牙线)的其他组完成的工作。首先,虽然已经存在以前的其他研究,但试图为一小组项目收集大量的代码级指标,并且已经研究了为大型Debian CodeBase生成一小一小节指标,我们的项目都为:我们为整套Debian包生成更大的指标。其次,我们在添加新的Debian元数据和未收集的附加代码级度量的集成,然后添加了几个额外的探索层。最后,最重要的是,因为我们将我们的收集和分析过程集成到自动牙线数据存储中,我们确保及时,可重复,并通过其他组的更容易的比较,复制和分析。因此,即使发布本文,我们的收集活动也将以自动的方式继续以自动化的方式,为稍后进行的额外研究提供基础,所有感兴趣的研究组都可以自由访问。在概述我们的过程后,我们讨论了一些关于数据的观察,我们概述了对研究界的一些影响,我们呈现了进一步研究的机会。

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