Innovations in Natural Language Document Processing for Requirements Engineering
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Authors
Berzins, Valdis
Martell, Craig
Luqi
Adams, Paige
Subjects
Requirements
Natural Language
Ambiguity
Gaps
Domain-Specific Methods
Natural Language
Ambiguity
Gaps
Domain-Specific Methods
Advisors
Date of Issue
2008
Date
Publisher
Language
Abstract
This paper evaluates the potential contributions of natural
language processing to requirements engineering. We present a selective
history of the relationship between requirements engineering (RE) and
natural-language processing (NLP), and briefly summarize relevant recent
trends in NLP. The paper outlines basic issues in RE and how they
relate to interactions between a NLP front end and system-development
processes. We suggest some improvements to NLP that may be possible
in the context of RE and conclude with an assessment of what should be
done to improve likelihood of practical impact in this direction.
Type
Article
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
This work was supported in part by ARO under project P-45614-CI.
Funder
Format
Citation
B. Paech and C. Martell (Eds.): Monterey Workshop 2007, LNCS 5320, pp. 125–146, 2008.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.