Evaluating the use of Pareto Efficiency to Optimize Non-Functional Requirements Satisfaction in i* Modeling
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Otros documentos de la autoría: Zubcoff, Jose; Garrigós Fernández, Irene; Casteleyn, Sven; Mazón, Jose-Norberto; Aguilar Calderón, José Alfonso
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Título
Evaluating the use of Pareto Efficiency to Optimize Non-Functional Requirements Satisfaction in i* ModelingAutoría
Fecha de publicación
2016-01xmlui.dri2xhtml.METS-1.0.item-edition
Versió post-print de l'autorEditor
IEEE XploreISSN
1548-0992Cita bibliográfica
ZUBCOFF, J. J., et al. Evaluating the use of Pareto Efficiency to Optimize Non-Functional Requirements Satisfaction in i* Modeling. IEEE Latin America Transactions, 2016, 14.1: 331-338.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7430098Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Due to the large, heterogeneous audience of Web applications, and its rapidly changing expectations, holistic requirement analysis approaches are crucial to ensure the success of Web engineering projects. To increase ... [+]
Due to the large, heterogeneous audience of Web applications, and its rapidly changing expectations, holistic requirement analysis approaches are crucial to ensure the success of Web engineering projects. To increase the quality of resulting Web applications, non-functional requirements (NFRs) must be considered. Satisfying them is a non-trivial task that depends on making decisions about which functional requirements (FRs) to implement, and how to prioritize the NFRs. A satisfactory solution is a trade-off, where competing NFRs must be balanced. In this paper, we outline how the Pareto efficiency can complement a goal-oriented requirement analysis modelling to evaluate and select optimal configurations of requirements for a Web application, while NFRs are balanced and maximized according to a priority list. We hereby focus on an empirical evaluation to verify whether our Pareto method improves the accuracy of design decisions during the requirements analysis phase, and/or if it reduces the time needed by designers. [-]
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IEEE Latin America Transactions, 2016, Volume:14 Issue:1Derechos de acceso
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