@inbook {1611,
	title = {Does Contributor Characteristics Influence Future Participation? A Case Study on Google Chromium Issue Tracking System},
	booktitle = {Open Source Software: Mobile Open Source Technologies},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {427},
	year = {2014},
	pages = {164-167},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {

Understanding and measuring factors influencing future participation is relevant to organizations. This information is useful for planning and strategic decision-making. In this work, we measure contributor characteristics and compute attrition to investigate their relationship by mining Issue Tracking System. We conduct experiments on four year data extracted from Google Chromium Issue Tracking System. Experimental results show that the likelihood of future participation increases with increase in relevance of role in project and level of participation in previous time-interval.
},
	isbn = {978-3-642-55127-7},
	doi = {10.1007/978-3-642-55128-4_22},
	url = {http://dx.doi.org/10.1007/978-3-642-55128-4_22},
	author = {Rastogi, Ayushi and Sureka, Ashish},
	editor = {Corral, Luis and Sillitti, Alberto and Succi, Giancarlo and Vlasenko, Jelena and Wasserman, AnthonyI.}
}
@book {1590,
	title = {Drawing the Big Picture: Temporal Visualization of Dynamic Collaboration Graphs of OSS Software Forks},
	series = {10th IFIP WG 2.13 International Conference on Open Source Systems, OSS 2014, San Jos{\'e}, Costa Rica, May 6-9, 2014. Proceedings},
	volume = {427},
	year = {2014},
	pages = {41 - 50},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {How can we understand FOSS collaboration better? Can social issues that emerge be identified and addressed as they happen? Can the community heal itself, become more transparent and inclusive, and promote diversity? We propose a technique to address these issues by quantitative analysis and temporal visualization of social dynamics in FOSS communities. We used social network analysis metrics to identify growth patterns and unhealthy dynamics; This gives the community a heads-up when they can still take action to ensure the sustainability of the project.},
	isbn = {978-3-642-55128-4},
	issn = {1868-422X},
	doi = {10.1007/978-3-642-55128-4_5},
	author = {Amir Azarbakht and Jensen, Carlos},
	editor = {Corral, Luis and Sillitti, Alberto and Succi, Giancarlo and Vlasenko, Jelena and Wasserman, Anthony I.}
}
