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arXiv:1203.5188cs.SE

Semi-Automatically Extracting FAQs to Improve Accessibility of Software Development Knowledge

Stefan Henß, Martin Monperrus, Mira Mezini

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Abstract

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.

arXiv comments
ICSE - 34th International Conference on Software Engineering (2012)
Journal reference
ICSE - 34th International Conference on Software Engineering, 2012
DOI
doi:10.1109/ICSE.2012.6227139
Subjects
cs.SESoftware Engineering cs.CLComputation and Language cs.IRInformation Retrieval

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    • The ACM has a taxonomy http://www.acm.org/about/class/2012 ____________________________ This researchers look back (looks like Brooklyn subways http://www.cs.man.ac.uk/~navarroe/research/map/ ___________________________ http://arxiv.org/abs/1304.2681 http://mocs.cs.arizona.edu/…

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