An automated tool for generating UML models from natural language requirements

dc.contributor.author	Deeptimahanti, Deva Kumar
dc.contributor.author	Ali Babar, Muhammad
dc.date.accessioned	2011-07-21T15:26:33Z
dc.date.available	2011-07-21T15:26:33Z
dc.date.issued	2009
dc.identifier.uri	http://hdl.handle.net/10344/1169
dc.description	peer-reviewed	en_US
dc.description.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.	en_US
dc.language.iso	eng	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation.ispartofseries	2009 IEEE/ACM international conference on automated software engineering;pp. 680-682
dc.rights	©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.	en_US
dc.subject	requirement engineering	en_US
dc.subject	natural language processing	en_US
dc.subject	unified modeling language	en_US
dc.title	An automated tool for generating UML models from natural language requirements	en_US
dc.type	Conference item	en_US
dc.type.supercollection	all_ul_research	en_US
dc.type.supercollection	ul_published_reviewed	en_US
dc.type.restriction	none	en
dc.contributor.sponsor	HEA