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

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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https://hal.inria.fr/hal-00681906
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Submitted on : Thursday, March 22, 2012 - 5:30:39 PM
Last modification on : Friday, February 4, 2022 - 3:19:02 AM
Long-term archiving on: : Saturday, June 23, 2012 - 2:40:47 AM

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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, ⟨10.1109/ICSE.2012.6227139⟩. ⟨hal-00681906⟩

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