摘要
对于非崩溃的错误,测试人员往往花费大量的时间才能发现。为了快速准确地定位这类错误,降低软件开发成本,提高软件质量,提出一种辅助定位非崩溃错误的方法。该方法通过收集程序的执行轨迹信息,构造出程序调用图。提取频繁边,运用J48决策树算法,得到基于方法粒度的故障决策树,可辅助人员判定软件缺陷。通过实验与分析,进一步验证了该方法的有效性。
Testers often spend a lot of time to find the non-crash software fault. In order to locate the kind of fault fast and accurately, reduce the cost of software development and improve the quality of software, a kind of auxiliary method to locate the non-crash fault is proposed. The approach collects the information of the program execution path and constructs program call graph. The technique extracting frequent edge and utilizing J48 algorithm builds a fault decision tree based on granularity level in method. Experimental results show that this method is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第20期67-71,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.41362015)
江西省自然科学基金(No.20122BAB211035)
江西省教育厅科学技术研究项目(No.GJJ14431
No.GJJ13415
No.GJJ13411)
江西省教育厅重点项目(赣教技字[12770]号)
关键词
软件故障定位
执行轨迹
图挖掘
决策树
software fault localization
execution path
graph mining
decision tree
