Abstract
The last few years have seen a rapid increase in the number of Free/Libre Open Source Software (FLOSS) projects. Some of these projects, such as Linux and the Apache web server, have become phenomenally successful. However, for every successful FLOSS project there are dozens of FLOSS projects which never succeed. These projects fail to attract developers and/or consumers and, as a result, never get off the ground. The aim of this research is to better understand why some FLOSS projects flourish while others wither and die. This article presents a simple agent-based model that is calibrated on key patterns of data from Source Forge, the largest online site hosting open source projects. The calibrated model provides insight into the conditions necessary for FLOSS success and might be used for scenario analysis of future developments of FLOSS. [Article copies are available for purchase from InfoSci-on-Demand.com].
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | International Journal of Open Source Software and Processes |
| Volume | 1 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2009 |
Keywords
- Agent-based model
- Emergent properties
- Floss
- Open source
- Prediction success
- Simulation
ASJC Scopus subject areas
- Software