基于可拓聚类分析的软件质量测度算法研究

研究了一种基于可拓聚类分析的软件质量测度算法,该算法首先建立了一种改进的软件质量测度评估体系,在该体系的框架下进行了评估指标的测度级别划分.进行了软件质量测度评估可拓聚类分析,给出了评估指标的规范化处理模型及权重分配模型,建立了不同软件质量测度级别的可拓经典域和可拓节域,给出了软件质量测度分析对象关于不同评估指标和不同测度级别可拓域之间的可拓关联度计算模型,并提出了基于可拓聚类分析的软件质量测度算法的实现模型.基于案例进行了算法的验证分析,表明了算法的有效性与可操作性.

A Software Quality Measurement Algorithm Based on Extension Cluster Analysis

A software quality measure algorithm based on extension clustering analysis is studied.Firstly,an improved software quality measure and evaluation system is established.Under this framework,the evaluation level is divided.Then the extension cluster analysis is carried out,and the standardized processing model and the weight distribution model of the evaluation index are given.The extension of the classical domain and joint domain of different levels of software quality measurement are established.The extension correlation degree calculation model between software quality measure analysis object and extension domain of different measure level with different evaluation index is given,and a realization model of software quality measurement algorithm based on extension clustering analysis is put forward.Finally,the verification analysis of the algorithm are carried out based on the case,which shows the effectiveness and maneuverability of the algorithm.