@proceedings {1875,
	title = {Considering the use of walled gardens for FLOSS project communication},
	year = {2017},
	month = {05/2017},
	abstract = {At its core, free, libre, and open source software (FLOSS) is defined by its adherence to a set of licenses that give various freedoms to the users of the software, for example the ability to use the software, to read or modify its source code, and to distribute the software to others. In addition, many FLOSS projects and developers also champion other values related to "freedom" and "openness", such as transparency, for example in communication and decision-making, or community-orientedness, for example in broadening access, collaboration, and participation. This paper explores how one increasingly common software development practice - communicating inside non-archived, third-party "walled gardens" - puts these FLOSS values into conflict. If communities choose to use non-archived walled gardens for communication, they may be prioritizing one type of openness (broad participation) over another (transparency). We use 18 FLOSS projects as a sample to describe how walled gardens are currently being used for intra-project communication, as well as to determine whether or not these projects provide archives of these communications. Findings will be useful to the FLOSS community as a whole as it seeks to under- stand the evolution and impact of its communication choices.},
	keywords = {apache, chat, communication, email, free software, irc, mailing list, open source, Slack, Stack Overflow, teams, Wordpress},
	doi = {10.1007/978-3-319-57735-7_1},
	url = {https://link.springer.com/content/pdf/10.1007\%2F978-3-319-57735-7_1.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/preprint_0.pdf},
	author = {Squire, Megan}
}
@proceedings {1725,
	title = {Mining StackOverflow to Filter out Off-topic IRC Discussion},
	year = {2015},
	month = {05/2015},
	pages = {4 pages},
	abstract = {Internet Relay Chat (IRC) is a commonly used tool by OpenSource developers. Developers use IRC channels to discuss programming related problems, but much of the discussion is irrelevant and off-topic. Essentially if we treat IRC discussions like email messages, and apply spam filtering, we can try to filter out the spam (the off-topic discussions) from the ham (the programming discussions). Yet we need labelled data that unfortunately takes time to curate.
To avoid costly curration in order to filter out off-topic discussions, we need positive and negative data-sources. On- line discussion forums, such as StackOverflow, are very effective for solving programming problems. By engaging in open-data, StackOverflow data becomes a powerful source of labelled text regarding programming. This work shows that we can train classifiers using StackOverflow posts as positive examples of on-topic programming discussion. YouTube video comments, notorious for their lack of quality, serve as training set of off- topic discussion. By exploiting these datasets, accurate classifiers can be built, tested and evaluated that require very little effort for end-users to deploy and exploit.},
	keywords = {irc, topics},
	url = {http://webdocs.cs.ualberta.ca/~hindle1/2015/shaiful-mining_so.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/shaiful-mining_so.pdf},
	author = {Shaiful Alam Chowdhury and Hindle, Abram}
}
@proceedings {1755,
	title = {Mining StackOverflow to Filter out Off-topic IRC Discussion},
	year = {2015},
	month = {05/2015},
	abstract = {Internet Relay Chat (IRC) is a commonly used
tool by OpenSource developers. Developers use IRC channels
to discuss programming related problems, but much of the
discussion is irrelevant and off-topic. Essentially if we treat IRC
discussions like email messages, and apply spam filtering, we can
try to filter out the spam (the off-topic discussions) from the ham
(the programming discussions). Yet we need labelled data that
unfortunately takes time to curate.
To avoid costly curration in order to filter out off-topic
discussions, we need positive and negative data-sources. Online
discussion forums, such as StackOverflow, are very effective
for solving programming problems. By engaging in open-data,
StackOverflow data becomes a powerful source of labelled text
regarding programming. This work shows that we can train
classifiers using StackOverflow posts as positive examples of
on-topic programming discussion. YouTube video comments,
notorious for their lack of quality, serve as training set of offtopic
discussion. By exploiting these datasets, accurate classifiers
can be built, tested and evaluated that require very little effort
for end-users to deploy and exploit.},
	keywords = {irc, Stack Overflow, youtube},
	attachments = {https://flosshub.org/sites/flosshub.org/files/shaiful-mining_so_0.pdf},
	author = {Shaiful Alam Chowdhury and Hindle, Abram}
}
@conference {1518,
	title = {Studying the use of developer IRC meetings in open source projects},
	booktitle = {2009 IEEE International Conference on Software Maintenance (ICSM)},
	year = {2009},
	pages = {147 - 156},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Edmonton, AB, Canada},
	abstract = {Open source developers communicate with each other via various online outlets. Thus far, mailing lists have been the main coordination mechanism. However, our previous study shows that the use of developer IRC meetings is increasing in recent years. In this paper, we perform a study on the IRC meetings of two large open source projects: the GTK+ and Evolution projects. We explore three dimensions: who participates in the meetings, what do they discuss and how do they run the meetings. We find (1) that a small and stable number of the participants contribute the majority of messages in meetings, (2) that there are commonly discussed topics as well as project specific topics (3) that meeting styles vary across different projects.},
	keywords = {evolution, gtk, irc},
	isbn = {978-1-4244-4897-5},
	doi = {10.1109/ICSM.2009.5306333},
	url = {http://sail.cs.queensu.ca/publications/pubs/icsm2009_shihab.pdf},
	author = {Shihab, Emad and Zhen Ming Jiang and Hassan, Ahmed E.}
}
@conference {934,
	title = {On the use of Internet Relay Chat (IRC) meetings by developers of the GNOME GTK+ project},
	booktitle = {2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories},
	year = {2009},
	pages = {107 - 110},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Vancouver, BC, Canada},
	abstract = {Developers of open source projects are distributed across the world. They rely on email, mailing lists, instant messaging, IRC channels and more recently IRC meetings to communicate. Most of the studies thus far focus on the use of mailing lists by OSS developers, however, an increasing number of open source projects are using IRC meetings to hold developer meetings. In this paper, we mine the $\#$gtk-devel IRC meeting channel and study the usage of the IRC meetings held by the GNOME GTK+ core developers and maintainers. We look at three different dimensions: the discussion volume of the meetings, the number of participants attending the meetings and the activity of these participants. Our findings show that IRC meetings are gaining popularity among open source developers and maintainers: the IRC meeting discussions are increasing in volume, have increasing attendance levels, and the participants actively contribute to the meetings. To the best of our knowledge, this is the first study on the use of developer IRC meetings by OSS developers.},
	keywords = {gnome, gtk, irc, msr challenge},
	isbn = {978-1-4244-3493-0},
	doi = {10.1109/MSR.2009.5069488},
	attachments = {https://flosshub.org/sites/flosshub.org/files/107MSR2009-MSR-0130-Shihab-Emad.pdf},
	author = {Shihab, Emad and Zhen Ming Jiang and Hassan, Ahmed E.}
}
@article {breach2m,
	title = {I{\textquoteright}m not chatting, i{\textquoteright}m innovating! locating lead users in open source software communities},
	year = {2008},
	abstract = {The Lead User Method recognizes that certain end users of products are a valuable source {\textendash} in some industries the only source {\textendash} of new product innovations. Organizations that seek out these lead users and invite them to assist with the new product development process will produce products that perform far better in the marketplace than those developed by traditional methods based on research and development and market research. The individuals who author Open Source Software (OSS) {\textendash} complex and high-quality computer software that is typically distributed free of charge and without restrictions on use {\textendash} appear to share many common characteristics with lead users. These skilled computer programmers develop their software collaboratively, and often form large communities that congregate in Internet {\textquoteright}chat rooms{\textquoteright} to discuss and manage their software development projects. In response to a call for further research to improve the performance of the lead user method, this paper integrates concepts from the fields of innovation management, data visualization and open source software to a proposal to improve the process of identifying lead users in OSS communities},
	keywords = {irc},
	url = {http://www.geoffbreach.com/files/9512/6939/7089/Breach\%202008\%20Im\%20Not\%20Chatting\%20Im\%20Innovating.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Breach\%202008\%20Im\%20Not\%20Chatting\%20Im\%20Innovating.pdf},
	author = {Breach, Geoff}
}
@proceedings {1517,
	title = {Digesting Virtual {\textquotedblleft}Geek{\textquotedblright} Culture: The Summarization of Technical Internet Relay Chats},
	year = {2005},
	month = {06/2005},
	pages = {298-305},
	address = {Ann Arbor, MI, USA},
	abstract = {This paper describes a summarization system for technical chats and emails on the Linux kernel. To reflect the complexity and sophistication of the discussions, they are clustered according to subtopic structure on the sub-message level, and immediate responding pairs are identified through machine learning methods. A resulting summary consists of one or more mini-summaries, each on a subtopic from the discussion.},
	keywords = {computational linguistics, irc, linux, summarizing},
	url = {http://acl.ldc.upenn.edu/P/P05/P05-1037.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/P05-1037.pdf},
	author = {Liang Zhou and Edouard Hovy}
}
