Multi-criteria software quality model selection based on divergence measure and score function

Due to advancement of modern computing technology, software and its products have played an important role in the success and failure of any business. Nowadays, numerous researchers have focused their work on the development of new software quality models and its scopes. Evaluating software quality models based on several attributes is an essential and complex multi-criteria decision making problem (MCDM). To tackle this issue, several studies have been presented for the evaluation of software quality models by utilizing decision making and the idea of fuzzy sets (FSs). Present research develops an intuitionistic fuzzy (IF) improved score function method to deal with MCDM problems under intuitionistic fuzzy sets (IFSs). Further, the efficiency and feasibility of the proposed method is illustrated to choose the best software quality model under IF environment. To authorize the results, comparative study with previous developed approaches is discussed.