A Goal-Oriented Approach for Optimizing Non-functional Requirements in Web Applications

Web design methodologies should be able to provide a requirements analysis stage to consider the large and heterogeneous audience of Web applications. In this stage, non-functional requirements (NFRs) should be addressed in order to improve the quality of the Web application perceived by users. To this aim, different configurations of requirements could be implemented depending on the NFRs preferred by the Web user. Furthermore, prioritizing and making tradeoffs between NFRs is crucial for satisfying the audience of Web applications. Therefore, this work presents an algorithm based on the Pareto optimal approach to evaluate and select the optimal configuration of requirements for a Web application. To do this, the NFRs are maximized according to a priority list provided by the audience. Our approach is illustrated with a running example.