Fuzzy regression with asymmetric fuzzy coefficients applied to Software quality evaluation

With the rapid development of software industry, the fault of software has caused more and more heavy losses, and it becomes more significant to produce high-quality software products nowadays. Customer requirements are most critical factors influencing the relative quality of the software. It is helpful for us to improve the quality of software by modeling the relationship between the customer requirements and software features. The paper presents a fuzzy regression model with asymmetric triangular fuzzy numbers to express the functional relationships in order to guide us to adjust development strategy to produce high-quality software. An illustrated example is presented to show the application of the proposed model.