基于加权灰关联度模糊聚类的软件质量评价

Software Quality Evaluation Based on Weighted Grey Relational Fuzzy Clustering

为解决软件开发过程中的质量评价分类问题,提出了基于加权灰关联度模糊聚类的软件质量评价方法。通过加权灰关联度与欧几里德距离相结合形成加权欧几里德距离,根据灰关联度计算出个参数的权重,并通过计算F统计量确定特征值λ的最佳值,建立基于灰关联度的模糊聚类方法。将该方法应用到软件质量评价数据中进行模糊聚类分析,聚类结果表明,该方法具有有效性和实用性,可为软件质量评价提供可靠的分类结果。

In order to solve the problem of software quality evaluation and classification,the method based on weighted grey correlation fuzzy clustering is proposed.The fuzzy cluster method based on grey correlation degree is established by the weighted Euclidean distance defined by the weighted grey correlation degree and the optimal value of thresholdλconfirmed by F-statistic.The method is applied to the software quality evaluation data for fuzzy clustering analysis.The clustering results show that the method is effective and practical,and it can provide reliable classification results for software quality evaluation.