一种基于可拓学的中小型软件体系评价与优化实践
Practice of the Evaluation and Optimization of a Small-and Medium-Sized Software System Based on Extenics
闫继程 1尤越2
作者信息
- 1. 长安通信科技有限责任公司 北京 101300
- 2. 中国船舶集团有限公司第七一一研究所 上海 201108
- 折叠
摘要
针对企业中小型软件模块体系在评价过程中对复杂的定性分析、缺少客观准确的评价、易造成中后期评审优化等阶段反复修改,影响企业开发成本、开发质量和经济效益.通过可拓学建立基元模型,利用Py-thon中的numpy库辅助相关矩阵进行计算,利用层次分析法(Analytic Hierarchy Process,AHP)对各个指标层和准则层进行评价,将复杂的定性分析转化为借助人工智能工具的定量计算.在指标层利用相关网模型聚焦该软件存在的主要问题,进行优化与改进,最终提升该软件模块体系质量,实现降本增效.
Abstract
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.
关键词
可拓学/层次分析法/体系评价/人工智能/相关网模型Key words
Extenics/Aanalytic hierarchy process/System evaluation/Artificial intelligence/Correlation network model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据