摘要
基于频谱的错误定位方法很少考虑语言特性对其错误定位效率的影响.文中针对基于频谱的面向对象程序错误定位,分析讨论了类特性对基于频谱的错误定位方法的有效影响,提出了结合类可疑度信息的错误定位算法,并通过3个Java开源软件作为实验对象对其进行了验证.实验结果表明,文中提出的方法能够有效提高基于频谱的面向对象错误定位方法的效率.
Previous spectra-based fault localization techniques mostly didn＇t take into account the effect of language features. In this paper, we consider the class feature in fault localization of object-oriented programs, discuss the effect of class feature on fault localization, and propose an approach with the combination of class suspiciousness information to improve the effectiveness of spectra-based fault localization techniques of object-oriented programs. Empirical studies using three open source Java software were also conducted. The experimental result shows that the proposed approach is able to improve the effectiveness of spectra-based fault localization.
出处
《计算机学报》
EI
CSCD
北大核心
2013年第12期2420-2428,共9页
Chinese Journal of Computers
基金
国家自然科学基金(61170071
61003020
61272080)
江苏省研究生创新项目(CXZZ13_0054)
江苏省自然科学基金(BK2011190)资助~~
关键词
错误定位
面向对象
类可疑度
频谱
程序分析
fault localization
object-oriented
class suspiciousness
spectra
program analysis
