Evaluating the use of Pareto Efficiency to Optimize Non-Functional Requirements Satisfaction in i* Modeling

Abstract

Abstract-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.

Integrated Approach to Conceptual Modeling

“…The authors Zubcoff, Garrigos, Casteleyn, Mazon, and Aguilar (2016), presented the Pareto method in which they considered the non-functional requirements during analysis and modeling of the requirements, in order to increase the quality of the web application, improve the design decision accuracy during the requirements analysis phase and they also stated the possibility for reducing the time needed by the designers [7]. Even though the issue of the non-functional requirements is initiated by above mentioned authors; Afreen, Khatoon and Sadiq (2016) in their article highlighted that most of the work is related to the functional requirements, while the non-functional requirements have received less consideration by the goal-oriented requirements engineering community [8].…”