Discourse Structure Analysis for Requirement Mining

Authors

  • Juyeon Kang IRIT-CNRS, Toulouse cedex France
  • Patrick Saint-dizier IRIT-CNRS, Toulouse cedex France

Keywords:

Natural Language Processing, Discourse Structure Analysis, Requirement Authoring, Requirement Mining

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.

 URL: http://ijkcdt.net/xml/01029/01029.pdf

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Published

2013-12-31

How to Cite

Kang, J., & Saint-dizier, P. (2013). Discourse Structure Analysis for Requirement Mining. International Journal of Knowledge Content Development & Technology, 3(2). Retrieved from https://ijkcdt.journals.publicknowledgeproject.org/index.php/ijkcdt/article/view/38

Issue

Vol. 3 No. 2 (2013)

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Articles

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Copyright (c) 2013 International Journal of Knowledge Content Development & Technology

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