@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}
}
@proceedings {1444,
	title = {Gender Differences in Early Free and Open Source Software Joining Process},
	volume = {378},
	year = {2012},
	note = {"We examined subscriber logs and data for six FOSS projects..."
"We examined the differences between posters and non-posters to determine the attrition rate..."
"Using data from the US Census, we matched names to lists of the most common female and male names. We identified 666 users using this process."},
	month = {09/2012},
	pages = {78-93},
	publisher = {IFIP AICT, Springer},
	address = {Eighth International Conference on Open Source Systems (OSS 2012)},
	abstract = {With the growth of free and open source software (FOSS) and the adoption of FOSS solutions in business and everyday life, it is important that projects serve their growingly diverse user base. The sustainability of FOSS projects relies on a constant influx of new contributors. Several large demo- graphic surveys found that FOSS communities are very homogenous, dominated by young men, similar to the bias existing in the rest of the IT workforce. Building on previous research, we examine mailing list subscriptions and posting statistics of female FOSS participants. New participants often experience their first interaction on a FOSS project{\textquoteright}s mailing list. We explored six FOSS projects {\textendash} Buildroot, Busybox, Jaws, Parrot, uClibc, and Yum. We found a declining rate of female participation from the 8.27\% of subscribers, to 6.63\% of posters, and finally the often reported code contributor rate of 1.5\%. We found a disproportionate attrition rate among women along every step of the FOSS joining process.},
	keywords = {buildroot, busybox, diversity, email, jaws, joining process, mailing lists, parrot, uClibc, Yum},
	author = {Kuechler, Victor and Gilbertson, Claire and Jensen, Carlos}
}
