Micro Studies of FOSS Ecology

2018 ◽  
pp. 67-80
Keyword(s):  
Growth Rate ◽  
Open Source ◽  
Open Source Software ◽  
Task Allocation ◽  
Task Completion ◽  
Small Set ◽  
Collaboration Patterns ◽  
Drop Rate

Sourceforge.net is the largest portal hosting Free and Open Source Software (FOSS). Among the projects available in sourceforge.net, six top ranked projects are selected for studying global volunteer collaboration patterns over a period of 6 years (2005-2011). It is found that a small set of volunteers do most of the work in these projects. The growth rate of volunteers, identification of core developers, join and drop rate of volunteers, task allocation and rate of task completion, movement of existing volunteers among different projects and the rate of new volunteer inclusion are also studied.

Finding Influential Nodes in Sourceforge.net Using Social Network Analysis

2021 ◽  
pp. 156-166
Author(s):  
K.G. Srinivasa ◽  
Ganesh Chandra Deka ◽  
Krishnaraj P.M.
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Source ◽  
Information Flow ◽  
Open Source Software ◽  
Small Set ◽  
Influential Nodes

The contribution of volunteers in the development of Free and Open Source Software in Sourceforge.net is studied in this paper. Using Social Network analysis, the small set of developers who can maximize the information flow in the network are discovered. The propagation of top developers across past three years are also studied. The four algorithms used to find top influential developers gives almost similar results. The movement of top developers over past years years was also consistent.

Finding Influential Nodes in Sourceforge.net Using Social Network Analysis

2018 ◽  
pp. 104-116
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Source ◽  
Information Flow ◽  
Open Source Software ◽  
Small Set ◽  
Influential Nodes

The contribution of volunteers in the development of Free and Open Source Software in Sourceforge.net is studied in this paper. Using Social Network analysis, the small set of developers who can maximize the information flow in the network are discovered. The propagation of top developers across past three years are also studied. The four algorithms used to find top influential developers gives almost similar results. The movement of top developers over past years years was also consistent.

Macro Studies of FOSS Ecology

2018 ◽  
pp. 58-66
Keyword(s):  
Growth Rate ◽  
Project Management ◽  
Open Source ◽  
Open Source Software ◽  
Slow Growth ◽  
Current Work ◽  
Critical Systems ◽  
Slow Growth Rate ◽  
Community Project ◽  
Mission Critical

The ecology of Free and Open Source Software (FOSS) is dotted by projects of every kind ranging from small desktop applications to large mission critical systems. To enable maximum visibility among the developer community, these projects are often hosted in community project management portals. The current work studies one such portal, sourceforge.net by analyzing the data of 200,000 projects and 2 million developers for the period Feb 2005 to Aug 2009. The scope of the present study includes the analysis of developer contribution. The slow growth rate of developer community and high number of single developer projects are the major findings of the present work.

An Algorithm for Gradual Patch Acceptance Detection in Open Source Software Repository Mining

2012 ◽  
Vol E95.A (9) ◽  
pp. 1478-1489
Author(s):  
Passakorn PHANNACHITTA ◽  
Akinori IHARA ◽  
Pijak JIRAPIWONG ◽  
Masao OHIRA ◽  
Ken-ichi MATSUMOTO
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Repository ◽  
Repository Mining ◽  
Software Repository Mining

Hacking Diversity

2019 ◽  
Author(s):  
Christina Dunbar-Hester
Keyword(s):  
Open Source ◽  
Human Resource ◽  
Open Source Software ◽  
Cultural Production ◽  
Equal Opportunity ◽  
Economic Power ◽  
Underrepresented Groups ◽  
Technical Production ◽  
Preferred Solutions

Hacking, as a mode of technical and cultural production, is commonly celebrated for its extraordinary freedoms of creation and circulation. Yet surprisingly few women participate in it: rates of involvement by technologically skilled women are drastically lower in hacking communities than in industry and academia. This book investigates the activists engaged in free and open-source software to understand why, despite their efforts, they fail to achieve the diversity that their ideals support. The book shows that within this well-meaning volunteer world, beyond the sway of human resource departments and equal opportunity legislation, members of underrepresented groups face unique challenges. The book explores who participates in voluntaristic technology cultures, to what ends, and with what consequences. Digging deep into the fundamental assumptions underpinning STEM-oriented societies, the book demonstrates that while the preferred solutions of tech enthusiasts—their “hacks” of projects and cultures—can ameliorate some of the “bugs” within their own communities, these methods come up short for issues of unequal social and economic power. Distributing “diversity” in technical production is not equal to generating justice. The book reframes questions of diversity advocacy to consider what interventions might appropriately broaden inclusion and participation in the hacking world and beyond.

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