A software development project quality analysis model based on HMM-FNN
Liu Yuanxu, Chang Chaowen, Peisheng Han, Wu Guo · 2017
The current software development project quality assessment system was incomplete and the evaluation result was inaccurate. To solve these problems, this paper tried to analyze the quality evaluation factors of software development projects, and then put forward a software analysis model based on fuzzy neural network(FNN) and hidden markoff model(HMM). Through the comparison between actual situation of software development projects and the evaluation results of the model, the model could evaluate the quality of software development project accurately. Also, it could provide an effective reference to optimize the structure of software development project, enhance the level of the software development and finally improve the quality of software development project.