计算机应用研究2017，Vol.34Issue(8)：2417-2421,5.DOI:10.3969/j.issn.1001-3695.2017.08.041
在软件易变性上下文中类规模对面向对象度量的影响分析
Potentially confounding effect of class size on validity of object-orientedmetrics in context of software change-proneness
摘要
Abstract
Software change-prone prediction, one of the hot topics in software engineering domain, mainly through the internal characteristics of software, namely software metrics, to describe and forecast the external characteristics of the software, plays an important role in controlling and improving software quality and software cost balance.Although software change-prone prediction has made a series of achievements in the academic field, there has not yet been a successful application in the indus-trial field.This paper identified the authenticity of the correlation between object-oriented metrics and software change-proneness from the aspects of simple correlation analysis, partial correlation analysis and association mining.The experiment results show that there are potentially confounding effect of class size on the validity of object-oriented metrics in the context of software change-proneness.关键词
软件易变性/面向对象度量/相关性分析/关联规则挖掘Key words
software change-proneness/object-oriented metrics/correlation analysis/association rule mining分类
信息技术与安全科学引用本文复制引用
吴方君..在软件易变性上下文中类规模对面向对象度量的影响分析[J].计算机应用研究,2017,34(8):2417-2421,5.基金项目
江西省自然科学基金资助项目(20142BAB207010) （20142BAB207010）
江西省教育厅科技项目(GJJ160427) （GJJ160427）
