@inbook {1592,
	title = {Navigation Support in Evolving Open-Source Communities by a Web-Based Dashboard},
	booktitle = {Open Source Software: Mobile Open Source Technologies},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {427},
	year = {2014},
	pages = {11-20},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {

The co-evolution of communities and systems in open-source software (OSS) projects is an established research topic. There are plenty of different studies of OSS community and system evolution available. However, most of the existing OSS project visualization tools provide source code oriented metrics with little support for communities. At the same time, self-reflection helps OSS community members to understand what is happening within their community. Considering missing community-centered OSS visualizations, we investigated the following research question: Are the OSS communities interested in a visualization platform, which reflects community evolution? If so, what aspects should it reflect?

To answer this research question, we first conducted an online survey within different successful OSS communities. The results of our evaluation showed that there is a great interest in community-centered statistics. Therefore, we developed an OSS navigator: a Web-based dashboard for community-oriented reflection of OSS projects. The navigator was filled with data from communication and development repositories of three large bioinformatics OSS projects. The members of these OSS communities tested the prototype. The bioinformatics OSS developers acknowledged the uniqueness of statistics that the NOSE dashboard offers. Especially, graph visualization of the project social network received the highest attention. This network view combined with other community-oriented metrics can significantly enhance the existing visualizations or even be provided as a standalone tool.},
	isbn = {978-3-642-55127-7},
	doi = {10.1007/978-3-642-55128-4_2},
	url = {http://dx.doi.org/10.1007/978-3-642-55128-4_2},
	author = {Hannemann, Anna and Liiva, Kristjan and Klamma, Ralf},
	editor = {Corral, Luis and Sillitti, Alberto and Succi, Giancarlo and Vlasenko, Jelena and Wasserman, AnthonyI.}
}
@conference {hannemann2013adaptive,
	title = {An Adaptive Filter-Framework for the Quality Improvement of Open-Source Software Analysis.},
	booktitle = {Software Engineering},
	year = {2013},
	pages = {143{\textendash}156},
	publisher = {Citeseer},
	organization = {Citeseer},
	abstract = {Knowledge mining in Open-Source Software (OSS) brings a great benefit
for software engineering (SE). The researchers discover, investigate, and even simulate
the organization of development processes within open-source communities in
order to understand the community-oriented organization and to transform its advantages
into conventional SE projects. Despite a great number of different studies on
OSS data, not much attention has been paid to the data filtering step so far. The noise
within uncleaned data can lead to inaccurate conclusions for SE. A special challenge
for data cleaning presents the variety of communicational and development infrastructures
used by OSS projects. This paper presents an adaptive filter-framework supporting
data cleaning and other preprocessing steps. The framework allows to combine
filters in arbitrary order, defining which preprocessing steps should be performed. The
filter-portfolio can by extended easily. A schema matching in case of cross-project
analysis is available. Three filters - spam detection, quotation elimination and core periphery
distinction - were implemented within the filter-framework. In the analysis
of three large-scale OSS projects (BioJava, Biopython, BioPerl), the filtering led to
a significant data modification and reduction. The results of text mining (sentiment
analysis) and social network analysis on uncleaned and cleaned data differ significantly, confirming the importance of the data preprocessing step within OSS empirical
studies.},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.437.5602\&rep=rep1\&type=pdf$\#$page=143},
	author = {Hannemann, Anna and Hackstein, Michael and Klamma, Ralf and Jarke, Matthias}
}
@book {1536,
	title = {Community Dynamics in Open Source Software Projects: Aging and Social Reshaping},
	series = {IFIP Advances in Information and Communication TechnologyOpen Source Software: Quality Verification},
	volume = {404},
	year = {2013},
	pages = {80 - 96},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {

An undeniable factor for an open source software (OSS) project success is a vital community built around it. An OSS community not only needs to be established, but also to be persisted. This is not guaranteed considering the voluntary nature of participation in OSS. The dynamic analysis of the OSS community evolution can be used to extract indicators to rate the current stability of a community and to predict its future development. Despite the great amount of studies on mining project communication and development repositories, the evolution of OSS communities is rarely addressed. This paper presents an approach to analyze the OSS community history. We combine adapted demography measures to study community aging and social analysis to investigate the dynamics of community structures. The approach is applied to the communication and development history of three bioinformatics OSS communities over eleven years. First, in all three projects a survival rate pattern is identified. This finding allows us to define the minimal number of newcomers required for the further positive community growth. Second, dynamic social analysis shows that the node betweenness in combination with the network diameter can be used as an indicator for significant changes in the community core and the quality of community recovery after these modifications.
},
	isbn = {978-3-642-38928-3},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-38928-3_6},
	author = {Hannemann, Anna and Klamma, Ralf},
	editor = {Petrinja, Etiel and Succi, Giancarlo and Ioini, Nabil and Sillitti, Alberto}
}
