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Text-based requirements preprocessing using nature language processing techniques
Abstract In a distributed environment, non-technicaIn a distributed environment, non-technical stakeholders are required to write down requirement statements by themselves. Nature language is the first choice for them. In order to alleviate the burden of reading free-text requirement documents by requirements engineers, we extract goals and relevant stakeholders from requirement statements automatically by a computer-assisted way. In this paper, requirements are divided into system level requirements and instance level requirements. Methods are proposed to solve two types of requirements by analyzing the characteristics of requirement expressions, and combining techniques of nature language processing with semantic web. Semantic-enhanced segment and domain sentence pattern are two novel techniques utilized in our methods. Our approach accelerates goal extraction from text-based requirements and alleviates the burden of requirements engineers significantly.n of requirements engineers significantly.
Abstractsub In a distributed environment, non-technicaIn a distributed environment, non-technical stakeholders are required to write down requirement statements by themselves. Nature language is the first choice for them. In order to alleviate the burden of reading free-text requirement documents by requirements engineers, we extract goals and relevant stakeholders from requirement statements automatically by a computer-assisted way. In this paper, requirements are divided into system level requirements and instance level requirements. Methods are proposed to solve two types of requirements by analyzing the characteristics of requirement expressions, and combining techniques of nature language processing with semantic web. Semantic-enhanced segment and domain sentence pattern are two novel techniques utilized in our methods. Our approach accelerates goal extraction from text-based requirements and alleviates the burden of requirements engineers significantly.n of requirements engineers significantly.
Bibtextype inproceedings  +
Doi 10.1109/ICCDA.2010.5540935  +
Has author Hejie Chen + , He K. + , Peng Liang + , Li R. +
Has extra keyword Domain ontologies + , Nature language processing + , Requirements preprocessing + , Technical stakeholders + , Wiki + , Computer applications + , Engineers + , Ontology + , Requirements engineering + , Semantic web + , Semantics + , Linguistics +
Has keyword Domain ontology + , Nature language processing + , Non-technical stakeholder + , Requirements preprocessing + , Wiki +
Isbn 9781424471638  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages V114–V118  +
Published in 2010 International Conference on Computer Design and Applications, ICCDA 2010 +
Title Text-based requirements preprocessing using nature language processing techniques +
Type conference paper  +
Volume 1  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 8 November 2014 06:30:57  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 06:30:57  +
DateThis property is a special property in this wiki. 2010  +
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