Towards a framework for improving goal-oriented requirement models quality
Tipo de documentoTexto en actas de congreso
Fecha de publicación2009
Condiciones de accesoAcceso abierto
Goal-orientation is a widespread and useful approach to Requirements Engineering. However, quality assessment frameworks focused on goal-oriented processes are either limited or remain on the theoretical side. Requirements quality initiatives range from simple metrics applicable to requirements documents, to general-purpose quality frameworks that include syntactic, semantic and pragmatic concerns. In some recent works, we have proposed a metrics framework for goal-oriented models, but the approach did not cover the cycle of quality assessment. In this paper we present a semiotic-based quality assessment proposal built upon the i* framework and the SEQUAL proposal. We propose a simplification of SEQUAL which can be applied to i* models by defining semantic, pragmatic and social metrics. As a result, we obtain suites of metrics that can be applied to i* goal-oriented requirements models. This theoretical work is put into practice by using iStarML, a XML representation of i* models, over which XQuery sentences compute the proposed metrics.
CitaciónCares, C.; Franch, J. Towards a framework for improving goal-oriented requirement models quality. A: Workshop on Requirements Engineering. "WER 2009: 12th Workshop on Requirements Engineering: Valparaíso, Chile, July 16-17, 2009". 2009, p. 3-14.