@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}
}
