@book {1534,
	title = {Towards a Reference Model on How to Utilise Open Standards in Open Source Projects: Experiences Based on Drupal},
	series = {IFIP Advances in Information and Communication TechnologyOpen Source Software: Quality Verification},
	volume = {404},
	year = {2013},
	pages = {257 - 263},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {

It is known that standards implemented in Open Source software (OSS) can promote a competitive market, reduce the risk for lock-in and improve interoperability, whilst there is limited knowledge concerning the relationship between standards and their implementations in OSS. In this paper we report from an ongoing case study conducted in the context of the ORIOS (Open Source software Reference Implementations of Open Standards) project in which influences between OSS communities and software standard communities are investigated. The study focuses on the Drupal project and three of its implemented standards (RDFa, CMIS, and OpenID).
},
	isbn = {978-3-642-38928-3},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-38928-3_19},
	author = {Andersson, Stefan and Feist, Jonas and Gustavsson, Tomas and Strindberg, Henrik and Gamalielsson, Jonas and Lundell, Bj{\"o}rn and Grahn, Alexander},
	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}
}
