A median-based fuzzy approach to software quality evaluation

Software quality evaluation is a challenging task in software engineering. A new group decision-making evaluation model is presented in this work. The new model is based on the Vlsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) technique, in which a group regret measurement and a group satisfaction measurement are provided to increase the number of reference criteria in the decision-making process. We choose the median to represent the center of the data. Based on this, an entropy-based weighting method is proposed and used to determine the weights of decision makers. A new normalized projection is explored to measure the closeness between two evaluation matrices in a Pythagorean fuzzy setting. Several experimental analyses demonstrate that the entropy-based weighting method developed in this study is superior to traditional weighting methods. The median-based data center provides support for stable decision outcomes. Four dynamic experiments are reported on in this paper: The first one shows that the decision results remain stable throughout the entire experimental range; the second one demonstrates that the proposed normalized projection measure outperforms traditional projection measure; the third one demonstrates that the newly developed VIKOR method outperforms the traditional VIKOR method; and the last one identifies the optimal range for the three parameters of the proposed comprehensive VIKOR model.