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Title Speeding up requirements management in a product software company: linking customer wishes to product requirements through linguistic engineering
Author/s Johan Natt och Dag, V Gervasi, S Brinkkemper, Björn Regnell
Department/s Computer Science, Faculty of Engineering
Full-text Full text is not available in this archive
Alternative location (URL) http://dx.doi.org/10.1109/ICRE... Restricted Access (Alternative Location)
Publication/Series Proceedings. 12th IEEE International Requirements Engineering Conference
Publishing year 2004
Pages 283 - 294
Document type Conference
Conference name Proceedings. 12th IEEE International Requirements Engineering Conference
Conference date 6-11 Sept. 2004
Conference location Kyoto, Japan
Status published
Quality controlled yes
Language English
Publisher IEEE Comput. Soc
Abstract English 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
Subject Technology and Engineering
Keywords software product development, statistical natural language processing, software quality, industrial requirements engineering, linguistic engineering, product requirements, product software company, requirements management
ISBN/ISSN/Other ISBN: 0-7695-2174-6
Research group Software Engineering

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