Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Semi-automatically extracting FAQs to improve accessibility of software development knowledge
AU - Henss, Stefan
AU - Monperrus, Martin
AU - Mezini, Mira
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
U2 - 10.1109/ICSE.2012.6227139
DO - 10.1109/ICSE.2012.6227139
M3 - Conference contribution/Paper
SN - 978-1-4673-1066-6
SP - 793
EP - 803
BT - Software Engineering (ICSE), 2012 34th International Conference on
PB - IEEE Press
CY - Piscataway, NJ, USA
ER -