@proceedings {Scialdone:2009,
	title = {Group Maintenance Behaviours of Core and Peripheral Members of Free/Libre Open Source Software Teams},
	year = {2009},
	address = {Skövde, Sweden, 3-6 June},
	abstract = {Group Maintenance is pro-social, discretionary, and relation-building behavior that occurs between members of groups in order to maintain reciprocal trust and cooperation. This paper considers how Free/libre Open Source Software (FLOSS) teams demonstrate such behaviors within the context of e-mail, as this is the primary medium through which such teams communicate. We compare group maintenance behaviors between both core and peripheral members of these groups, as well as behaviors between a group that remains producing software today and one which has since dissolved. Our findings indicate that negative politeness tactics (those which show respect for the autonomy of others) may be the most instrumental group maintenance behaviors that contribute to a FLOSS group{\textquoteleft}s ability to survive and continue software production.
},
	keywords = {FLOSS, Group Maintenance},
	attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/34finalmjs.pdf},
	author = {Scialdone, Michael J. and Heckman, Robert and Kevin Crowston},
	editor = {Boldyreff, Cornelia and Kevin Crowston and Lundell, Bj{\"o}rn and Wasserman, Tony}
}
@proceedings {Wiggins:2009,
	title = {Heartbeat: Measuring Active User Base and Potential User Interest in FLOSS Projects},
	volume = {299},
	year = {2009},
	pages = {94-104},
	publisher = {Springer Boston},
	address = {Skövde, Sweden, 3-6 June},
	abstract = {This paper presents a novel method and algorithm to measure the size of an open source project{\textquoteright}s user base and the level of potential user interest that it generates. Previously unavailable download data at a daily resolution confirms hypothesized patterns related to release cycles. In short, regular users rapidly download the software after a new release giving a way to measure the active user base. In contrast, potential new users download the application independently of the release cycle, and the daily download figures tend to plateau at this rate when a release has not been made for some time. An algorithm for estimating these measures from download time series is demonstrated and the measures are examined over time in two open source projects.},
	isbn = {978-3-642-02031-5},
	issn = {978-3-642-02031-5},
	doi = {10.1007/978-3-642-02032-2\%5f10},
	attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/heartbeat.pdf},
	author = {Wiggins, Andrea and James Howison and Kevin Crowston},
	editor = {Boldyreff, Cornelia and Kevin Crowston and Lundell, Bj{\"o}rn and Wasserman, Tony}
}
