VeGAn-Tool: A Fuzzy-logic Approach for Value-based Goal Model Analysis

Autor: Cano-Genoves, Carlos, Insfrán, Emilio, Abrahão, Silvia
Rok vydání: 2024
Předmět:
Zdroj: Science of Computer Programming, 2023, vol. 230, p. 103001
Druh dokumentu: Working Paper
DOI: 10.1016/j.scico.2023.103001
Popis: Goal-oriented analysis tools are used to assess goal models and assist analysts in decision-making. We introduce the VeGAn-Tool, which prioritizes goals according to their qualitative importance for the stakeholders and propagates this information in the goal model according to the different types of relationships. The FTOPSIS technique is used to calculate the value of each intentional element by employing the fuzzified importance (importance level fuzzified and refined by a confidence level) and the impact among the related intentional elements. The result is a prioritized goal model according to the value of each intentional element from the stakeholders' point of view.
Databáze: arXiv