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Title
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Speeding up requirements management in a product software company: linking customer wishes to product requirements through linguistic engineering
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Author/s
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Johan Natt och Dag, V Gervasi, S Brinkkemper, Björn Regnell
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Department/s
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Computer Science, Faculty of Engineering
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Full-text
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Full text is not available in this archive
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Alternative location (URL)
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http://dx.doi.org/10.1109/ICRE...
Restricted Access (Alternative Location)
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Publication/Series
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Proceedings. 12th IEEE International Requirements Engineering Conference
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Publishing year
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2004
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Pages
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283 - 294
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Document type
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Conference
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Conference name
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Proceedings. 12th IEEE International Requirements Engineering Conference
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Conference date
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6-11 Sept. 2004
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Conference location
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Kyoto, Japan
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Status
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published
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Quality controlled
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yes
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Language
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English
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Publisher
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IEEE Comput. Soc
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Abstract
English
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Developing large complex software products aimed for a broad market involves a great flow of wishes and requirements. The former are elicited from customers while the latter are brought forth by the developing organization. These are preferably kept separated to preserve the different perspectives. The interrelationships should however be identified and maintained to enable well-founded decisions. Unfortunately, the current manual linkage is cumbersome, time-consuming, and error-prone. This paper presents a pragmatic linguistic engineering approach to how statistical natural language processing may be used to support the manual linkage between customer wishes and product requirements by suggesting potential links. An evaluation with real requirements from industry is presented. It shows that in a realistic setting, automatic support could make linkage faster for at least 50% of the links. An estimation based on our evaluation also shows that considerable time savings are possible. The results, together with the identified enhancement, are promising for improving software quality and saving time in industrial requirements engineering
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Subject
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Technology and Engineering
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Keywords
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software product development,
statistical natural language processing,
software quality,
industrial requirements engineering,
linguistic engineering,
product requirements,
product software company,
requirements management
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ISBN/ISSN/Other
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ISBN: 0-7695-2174-6
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Research group
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Software Engineering
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