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

Stefan Henß 1 Martin Monperrus 2 Mira Mezini 3
1 Department of Computer Science
2 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
3 Software Technology Group [Darmstadt]
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.
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Communication dans un congrès
ICSE - 34th International Conference on Software Engineering, Jun 2012, Zurich, Switzerland. pp.793-803, 2012, 〈10.1109/ICSE.2012.6227139〉
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Soumis le : jeudi 22 mars 2012 - 17:30:39
Dernière modification le : jeudi 11 janvier 2018 - 06:22:13
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Stefan Henß, Martin Monperrus, Mira Mezini. Semi-Automatically Extracting FAQs to Improve Accessibility of Software Development Knowledge. ICSE - 34th International Conference on Software Engineering, Jun 2012, Zurich, Switzerland. pp.793-803, 2012, 〈10.1109/ICSE.2012.6227139〉. 〈hal-00681906〉

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