Practice of the Evaluation and Optimization of a Small-and Medium-Sized Software System Based on Extenics
In the evaluation process of the small-and medium-sized software module system in enterprises,there is a lack of the objective and accurate evaluation of complex qualitative analysis,which is easy to cause repeated modi-fications in the middle and later stages of review and optimization,affecting the development cost,development quality and economic benefits of enterprises.In this paper,the primitive model is established by extenics,the numpy library in Python is used to assist the correlation matrix for calculation,and the Analytic Hierarchy Process(AHP)is used to evaluate each index layer and criterion layer,so as to transform complex qualitative analysis into quantitative calculations with the help of artificial intelligence tools.In the index layer,the correlation network model is used to focus on the main problems of the software and optimize and improve it,and finally the quality of the software module system is improved,so as to reduce costs and increase efficiency.
ExtenicsAanalytic hierarchy processSystem evaluationArtificial intelligenceCorrelation network model
NETL
NSTL
万方数据
