Kang Choi, Juyeon and Saint-Dizier, Patrick
Discourse structure analysis for requirement mining.
(2013)
International Journal of Knowledge Content Development & Technology, 3 (2). 43-65. ISSN 2234-0068
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 432kB |
Official URL: http://dx.doi.org/10.5865/IJKCT.2013.3.2.043
Abstract
In this work, we first introduce two main approaches to writing requirements and then propose a method based on Natural Language Processing to improve requirement authoring and the overall coherence, cohesion and organization of requirement documents. We investigate the structure of requirement kernels, and then the discourse structure associated with those kernels. This will then enable the system to accurately extract requirements and their related contexts from texts (called requirement mining). Finally, we relate a first experimentation on requirement mining based on texts from seven companies. An evaluation that compares those results with manually annotated corpora of documents is given to conclude.
Item Type: | Article |
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Additional Information: | Thanks to RIKCDT editor. The definitive version is available at http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JSKTBN_2013_v3n2_43 |
HAL Id: | hal-01137321 |
Audience (journal): | International peer-reviewed journal |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
Laboratory name: | |
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Deposited On: | 30 Mar 2015 13:07 |
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