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Advances in Knowledge Acquisition and Management: Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers

Achim Hoffmann ; Byeong-ho Kang ; Debbie Richards ; Shusaku Tsumoto (eds.)

En conferencia: 9º Pacific Rim Knowledge Acquisition Workshop (PKAW) . Guilin, China . August 7, 2006 - August 8, 2006

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Database Management; Pattern Recognition

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2006 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-68955-3

ISBN electrónico

978-3-540-68957-7

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2006

Tabla de contenidos

Elicitation of Non-functional Requirement Preference for Actors of Usecase from Domain Model

G. S. Anandha Mala; G. V. Uma

Requirement engineering plays a vital role in the development of the software. The quality of the software being developed depends on the non-functional requirements, which are still not derived effectively due to the conflicts between them. This paper presents an approach to identify the non-functional requirements for a given usecase description from the domain model such as Unified Modelling Language class diagram and goal based questionnaires. This approach makes use of the domain model to find out the behaviour of the system and possible constraints for actors in the system. The non-functional requirement taxonomy and the user preferences are used to analyse the conflicts, which is resolved based on trade-off analysis by prioritizing the preference. The prioritization depends on the dominating non-functional requirements from the inference engine.

II - Regular Papers (6–8 Pages) | Pp. 238-243