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

by Stefan Henß, Martin Monperrus and Mira Mezini
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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Semi-Automatically Extracting FAQs to Improve Accessibility of Software Development Knowledge (, and ), In ICSE - 34th International Conference on Software Engineering, .
Stefan Henß, Martin Monperrus and Mira Mezini, "Semi-Automatically Extracting FAQs to Improve Accessibility of Software Development Knowledge", In ICSE - 34th International Conference on Software Engineering, Zurich, Switzerland, pp. 793-803, 2012.

Bibtex Entry:

@inproceedings{Henss2012,
 title = {{Semi-Automatically Extracting FAQs to Improve Accessibility of Software Development Knowledge}},
 author = {Hen{\ss}, Stefan and Monperrus, Martin and Mezini, Mira},
 url = {https://hal.inria.fr/hal-00681906/file/paper.pdf},
 booktitle = {{ICSE - 34th International Conference on Software Engineering}},
 pages = {793-803},
 year = {2012},
 doi = {10.1109/ICSE.2012.6227139},
}
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