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https://hdl.handle.net/2440/87302
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Type: | Conference paper |
Title: | An automated tool for generating UML models from natural language requirements |
Author: | Deeptimahanti, D. Babar, M. |
Citation: | Proceedings / IEEE International Conference, Automated Software Engineering ; sponsored by IEEE Computer Society, NASA Ames Research Center, in cooperation with AAAI, ACM SIGART and SIGSOFT. IEEE International Automated Software Enginee..., 2009, pp.680-682 |
Publisher: | IEEE Computer Society |
Issue Date: | 2009 |
Series/Report no.: | IEEE ACM International Conference on Automated Software Engineering |
ISBN: | 9780769538914 |
ISSN: | 1527-1366 |
Conference Name: | ASE 2009 24th IEEE/ACM International Conference on Automated Software Engineering (16 Nov 2009 - 20 Nov 2009 : Auckland, NZ) |
Statement of Responsibility: | Deva Kumar Deeptimahanti, Muhammad Ali Babar |
Abstract: | This paper describes a domain independent tool, named, UML Model Generator from Analysis of Requirements (UMGAR), which generates UML models like the Use-case Diagram, Analysis class model, Collaboration diagram and Design class model from natural language requirements using efficient Natural Language Processing (NLP) tools. UMGAR implements a set of syntactic reconstruction rules to process complex requirements into simple requirements. UMGAR also provides a generic XMI parser to generate XMI files for visualizing the generated models in any UML modeling tool. With respect to the existing tools in this area, UMGAR provides more comprehensive support for generating models with proper relationships, which can be used for large requirement documents. |
Rights: | © 2009 IEEE |
DOI: | 10.1109/ASE.2009.48 |
Published version: | http://dx.doi.org/10.1109/ase.2009.48 |
Appears in Collections: | Aurora harvest 7 Computer Science publications |
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