  Frequently asked questions (FAQs) are a popular way to document software
development knowledge. As creating such documents is expensive, this paper
presents an approach for automatically extracting FAQs from sources of software
development discussion, such as mailing lists and Internet forums, by combining
techniques of text mining and natural language processing. We apply the
approach to popular mailing lists and carry out a survey among software
developers to show that it is able to extract high-quality FAQs that may be
further improved by experts.
