Software fault debugging based on data flow analysis

被引：0
|
作者：
Guo, Xi [1 ]
Wang, Pan [2 ]
Wu, Peng-Fei [3 ]
机构：
[1] Huazhong Agr Univ, Coll Informat, Dept Comp Sci, Wuhan 430070, Peoples R China
[2] Wuhan Elect Power Tech Coll, Wuhan 430079, Hubei, Peoples R China
[3] Huazhong Agr Univ, Coll Informat, Dept Comp Applicat, Wuhan 430070, Peoples R China
来源：
PROCEEDINGS OF THE 2ND ANNUAL INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND INFORMATION SCIENCE (EEEIS 2016) | 2016年 / 117卷
基金：
美国国家科学基金会;
关键词：
Software debug; Data flow analysis; Software testing;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Data Flow Analysis is a difficult issue in the domain of fault localization, and many software faults are related to the information of data flow. The dependency between the variants and the define-use chain are discussed in this paper, and trace the impact to the variants in the process of operation. In this paper, a data flow model is proposed which can demonstrate the change of the variant value and the dependency between the variants and it can be used to debug the faults in the program. Experimental results demonstrate that this method has better results than the traditional methods.
引用
收藏
页码：986 / 991
页数：6
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