Abstract

Model for software quality evaluation with hesitant triangular fuzzy information

Author(s): Shan Feng

The quality of software projects always plays an important role in the whole complex program. In order to solve certain problems in software development, this paper try to give new resolution for the corporations in this field by using different types of methods, such as: Quantitative Analysis of Software Quality, Software Quality Management Standard, Quality Assurance System and Software Engineering Methods. In this paper, we investigate the multiple attribute decision making problems for evaluating the software quality with hesitant triangular fuzzy information. We utilize the hesitant triangular fuzzy weighted averaging (HTFWA) operator to aggregate the hesitant triangular fuzzy information corresponding to each alternative and get the overall value of the software systems, then rank the software systems and select the most desirable one (s) by using the formula of the degree of possibility for the comparison between two triangular fuzzy variables. Finally, an illustrative example for evaluating the software quality is given to verify the developed approach


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