@proceedings {1460,
	title = {Open Source Prediction Methods: A Systematic Literature Review},
	volume = {378},
	year = {2012},
	month = {09/2012},
	pages = {280-285},
	publisher = {IFIP AICT,  Springer},
	abstract = {For the adoption of Open Source Software (OSS) components, knowledge of the project development and associated risks with their use is needed. That, in turn, calls for reliable prediction models to support preventive maintenance and building quality software. In this paper, we perform a systematic literature review on the state-of-the- art on predicting OSS projects considering both code and community dimension. We also distill future direction for research in this field.},
	keywords = {Prediction Success, Systematic literature review},
	author = {Syeed, M.M. Mahbubul and Kilamo, Terhi and Hammouda, Imed and Syst{\"a}, Tarja}
}
@article {1338,
	title = {What Makes Free/Libre Open Source Software (FLOSS) Projects Successful? An Agent-Based Model of FLOSS Projects},
	journal = {International Journal of Open Source Software and Processes},
	volume = {1},
	year = {2009},
	pages = {1 - 13},
	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 SourceForge, 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.},
	keywords = {Agent-Based Model, Emergent Properties, FLOSS, open source, Prediction Success, Simulation},
	issn = {1942-3934},
	doi = {10.4018/jossp.2009040101},
	url = {http://www.public.asu.edu/~majansse/pubs/ijossp09.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/ijossp09.pdf},
	author = {Radtke, Nicholas P. and Janssen, Marco A. and Collofello, James S.}
}
