A Large-Scale Dataset of Popular Open Source Projects

Collaborative Maintenance in Large Open-Source Projects

The paper investigates collaborative work among maintainers of open source software by analyzing the logs of a set of 10 large projects. We inquire whether teamwork can be influenced by several characteristics of code. Preliminary results suggest that collaboration among maintainers in most large open-source projects seems to be positively influenced by file vintage and by Halstead volume of fi...

Method diffusion in large open-source projects

Open source tools for large-scale neuroscience

New technologies for monitoring and manipulating the nervous system promise exciting biology but pose challenges for analysis and computation. Solutions can be found in the form of modern approaches to distributed computing, machine learning, and interactive visualization. But embracing these new technologies will require a cultural shift: away from independent efforts and proprietary methods a...

Performance of Open Source Projects

The patterns in this paper describe open source development practices from a performance perspective. In product development, performance is measured in terms of the time it takes to develop a software product, the resulting quality of the software, and the cost of development. These dimensions are in tension with one another. Since improving performance has side effects, we also need to includ...

Characteristics of Open Source Projects

Most empirical studies about Open Source (OS) projects or products are vertical and usually deal with the flagship, successful projects. There is a substantial lack of horizontal studies to shed light on the whole population of projects, including failures. This paper presents a horizontal study aimed at characterizing OS projects. We analyze a sample of around 400 projects from a popular OS pr...