Modeling and simulation of ANFIS to evaluate software quality based on expert knowledge

On the basis of analyzing the fuzzy synthetic evaluation which now usually used in software quality evaluation, the disadvantages of this method and proposes an adaptive neural-fuzzy inference system (ANFIS) software quality evaluation model which found on expert knowledge is analyzed. The expert knowledge is used to get the weight of the input index, then the index is modified so that it can be the input of the model. With combining the characters of adaptive and self-study of ANFIS, the self-adjustability of inference rules' fitness and membership function's shape are realized during the evaluation of the software quality. At last, this method is used to evaluate the embedded software quality, the simulation and testing results show that this method is correct and available.