Henß, Stefan ; Monperrus, Martin ; Mezini, Mira (2012)
Semi-automatically extracting FAQs to improve accessibility of software development knowledge.
Zurich, Switzerland
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Henß, Stefan ; Monperrus, Martin ; Mezini, Mira |
| Art des Eintrags: | Bibliographie |
| Titel: | Semi-automatically extracting FAQs to improve accessibility of software development knowledge |
| Sprache: | Deutsch |
| Publikationsjahr: | Juni 2012 |
| Verlag: | IEEE Press |
| Buchtitel: | Proceedings of the 34th International Conference on Software Engineering |
| Reihe: | ICSE '12 |
| Veranstaltungsort: | Zurich, Switzerland |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | text mining, natural language processing, NLP, software developement management, knowledge management |
| ID-Nummer: | TUD-CS-2012-0381 |
| Fachbereich(e)/-gebiet(e): | Profilbereiche Profilbereiche > Cybersicherheit (CYSEC) |
| Hinterlegungsdatum: | 28 Aug 2017 13:34 |
| Letzte Änderung: | 12 Jan 2019 21:20 |
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