TU Darmstadt / ULB / TUbiblio

Semi-automatically extracting FAQs to improve accessibility of software development knowledge

Henß, Stefan ; Monperrus, Martin ; Mezini, Mira (2012)
Semi-automatically extracting FAQs to improve accessibility of software development knowledge.
Zurich, Switzerland
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Henß, Stefan ; Monperrus, Martin ; Mezini, Mira
Type of entry: Bibliographie
Title: Semi-automatically extracting FAQs to improve accessibility of software development knowledge
Language: German
Date: June 2012
Publisher: IEEE Press
Book Title: Proceedings of the 34th International Conference on Software Engineering
Series: ICSE '12
Event Location: Zurich, Switzerland
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.

Uncontrolled Keywords: text mining, natural language processing, NLP, software developement management, knowledge management
Identification Number: TUD-CS-2012-0381
Divisions: Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Date Deposited: 28 Aug 2017 13:34
Last Modified: 12 Jan 2019 21:20
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details