@book {1532,
	title = {How Healthy Is My Project? Open Source Project Attributes as Indicators of Success},
	series = {IFIP Advances in Information and Communication Technology Open Source Software: Quality Verification},
	volume = {404},
	year = {2013},
	note = {"The dataset used has thus been obtained through a third source which has made
the data publicly available [18]. FlossMole.org contains data collected for the period
2006 to December 2009 from which a dataset was compiled of 125,700 projects. "},
	pages = {30 - 44},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {Determining what factors can influence the successful outcome of a software project has been labeled by many scholars and software engineers as a difficult problem. In this paper we use machine learning to create a model that can determine the stage a software project has obtained with some accuracy. Our model uses 8 Open Source project metrics to determine the stage a project is in. We validate our model using two performance measures; the exact success rate of classifying an Open Source Software project and the success rate over an interval of one stage of its actual performance using different scales of our dependent variable. In all cases we obtain an accuracy of above 70\% with one away classification (a classification which is away by one) and about 40\% accuracy with an exact classification. We also determine the factors (according to one classifier) that uses only eight variables among all the variables available in SourceForge, that determine the health of an OSS project.
},
	keywords = {flossmole, sourceforge},
	isbn = {978-3-642-38928-3},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-38928-3_3},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-38928-3_3},
	attachments = {https://flosshub.org/sites/flosshub.org/files/OSSHealth_1.0.pdf},
	author = {Piggot, James and Amrit, Chintan},
	editor = {Petrinja, Etiel and Succi, Giancarlo and Ioini, Nabil and Sillitti, Alberto}
}
@book {1531,
	title = {Is It All Lost? A Study of Inactive Open Source Projects},
	series = {IFIP Advances in Information and Communication Technology Open Source Software: Quality Verification },
	volume = {404},
	year = {2013},
	pages = {61 - 79},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {
Open Source Software (OSS) proponents suggest that when developers lose interest in their project, their last duty is to {\textquotedblleft}hand it off to a competent successor.{\textquotedblright} However, the mechanisms of such a hand-off are not clear, or widely known among OSS developers. As a result, many OSS projects, after a certain long period of evolution, stop evolving, in fact becoming {\textquotedblleft}inactive{\textquotedblright} or {\textquotedblleft}abandoned{\textquotedblright} projects. This paper presents an analysis of the population of projects contained within one of the largest OSS repositories available (SourceForge.net), in order to describe how projects abandoned by their developers can be identified, and to discuss the attributes and characteristics of these inactive projects. In particular, the paper attempts to differentiate projects that experienced maintainability issues from those that are inactive for other reasons, in order to be able to correlate common characteristics to the {\textquotedblleft}failure{\textquotedblright} of these projects.
},
	keywords = {sourceforge},
	isbn = {978-3-642-38928-3},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-38928-3_5},
	url = {http://staff.lero.ie/stol/files/2013/03/2013-Is-It-All-Lost-A-Study-of-Inactive-Open-Source-Projects.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/2013-Is-It-All-Lost-A-Study-of-Inactive-Open-Source-Projects.pdf},
	author = {Khondu, Jymit and Capiluppi, Andrea and Stol, Klaas},
	editor = {Petrinja, Etiel and Succi, Giancarlo and Ioini, Nabil and Sillitti, Alberto}
}
@proceedings {1452,
	title = {Two Evolution Indicators for FOSS Projects},
	volume = {378},
	year = {2012},
	month = {09/2012},
	pages = {216-232},
	publisher = {IFIP AICT},
	abstract = {In this paper we introduce two project evolution indicators. One is showing an increase of downloads of the project and therefore a growing interest of users in the results of the project. The second indica- tor is predicting the future evolution of the project with the submission of new revisions to the concurrent versioning system. Both indicators can provide evidence of the sustainability of a software project. We used the General Linear Model method to statistically formulate the two linear equations that can be used to predict the two indicators. The predicting equations were build by using two stratified data samples one of 760 projects and the second of 880 projects extracted from the SourceForge repository. The six metrics included into the final version of the two models were extracted from a set of thirty project and product metrics as: the number of downloads, the number of developers, etc. We have validated the discriminant and the concurrent validity of the two models by using different statistical tests as the goodness-of-fit and we have used the two models to predict the indicators on two hold-out validation samples. The model predicting the increment of downloads was correct in 75 percent of the cases, the model predicting the submission of new revisions was correct in 93 percent of the cases.},
	keywords = {metrics, sourceforge},
	author = {Petrinja, Etiel and Succi, Giancarlo}
}
