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Studying software repositories and hosting services can provide valuable insights into the behaviors of large groups of software developers and their projects. Traditionally, most analysis of metadata collected from hosting services has been conducted by specifying some short window of time, typically just a few years. To date, few - if any - studies have been built from data comprising the entirety...
This paper outlines the steps in the creation and maintenance of a new dataset listing leaders of the various projects of the Apache Software Foundation (ASF). Included in this dataset are different levels of committers to the various ASF project code bases, as well as regular and emeritus members of the ASF, and directors and officers of the ASF. The dataset has been donated to the FLOSSmole project...
This paper describes a new dataset containing Twitter screen names for members of the projects affiliated with the Apache Software Foundation (ASF). The dataset includes the confirmed Twitter screen names, as well as the real name as listed on Twitter, and the user identification as used within the Apache organization. The paper also describes the process used to collect and clean this data, and shows...
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...
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