Forks impacts and motivations in free and open source projects
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 2
Abstract
Forking is a mechanism of splitting in a community and is typically found in the free and open source software field. As a failure of cooperation in a context of open innovation, forking is a practical and informative subject of study. In-depth researches concerning the fork phenomenon are uncommon. We therefore conducted a detailed study of 26 forks from popular free and open source projects. We created fact sheets, highlighting the impact and motivations to fork. We particularly point to the fact that the desire for greater technical differentiation and problems of project governance are major sources of conflict.
Authors and Affiliations
R. Viseur
Keywords
Related Articles
- EP ID EP86523
- DOI -
- Views 83
- Downloads 0
Efficient Algorithm for Maximal Clique Size Evaluation
A large dataset network is considered for computation of maximal clique size (MC). Additionally, its link with popular centrality metrics to decrease uncertainty and complexity and for finding influential points of any n...
An Assessment of Open Data Sets Completeness
The rapid growth of open data sources is driven by free-of-charge contents and ease of accessibility. While it is convenient for public data consumers to use data sets extracted from open data sources, the decision to us...
Real-Time Intelligent Parking Entrance Management
To help improve the situation of urban transport in the city of Casablanca, we have studied and set up a smart parking system. In this paper, we evaluate the management of the parking entrance utilising artificial intell...
Novel ABCD Formula to Diagnose and Feature Ranking of Melanoma
A prototype of skin cancer detection system for melanoma diagnoses in early stages is very important. In this paper, a novel technique is proposed for Skin malignant growth identification based on feature parameters, col...
Advanced Metaheuristics-based Tuning of Effective Design Parameters for Model Predictive Control Approach
This paper presents a systematic tuning approach for Model Predictive Control (MPC) parameters’ using an original LabVIEW-implementation of advanced metaheuristics algorithms. Perturbed Particle Swarm Optimization (pPSO)...