scholarly journals Accurately Choosing Execution Runs for Software Fault Localization

2006 ◽  
pp. 80-95 ◽  
Author(s):  
Liang Guo ◽  
Abhik Roychoudhury ◽  
Tao Wang
Keyword(s):  
Fault Localization ◽  
Software Fault

Statement spectrum with two dimensional eigenvalues for intelligent software fault localization

2021 ◽  
pp. 1-16
Author(s):  
Shengbing Ren ◽  
Xing Zuo ◽  
Jun Chen ◽  
Wenzhao Tan
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Rbf Neural Network ◽  
Fault Localization ◽  
Test Case ◽  
Two Dimensional ◽  
Intelligent Software ◽  
Localization Model ◽  
Software Fault ◽  
Program Spectrum

The existing Software Fault Localization Frameworks (SFLF) based on program spectrum for estimation of statement suspiciousness have the problems that the feature type of the spectrum is single and the efficiency and precision of fault localization need to be improved. To solve these problems, a framework 2DSFLF proposed in this paper and used to evaluate the effectiveness of software fault localization techniques (SFL) in two-dimensional eigenvalues takes both dynamic and static features into account to construct the two-dimensional eigenvalues statement spectrum (2DSS). Firstly the statement dependency and test case coverage are extracted by the feature extraction of 2DSFLF. Subsequently these extracted features can be used to construct the statement spectrum and data flow spectrum which can be combined into the optimized spectrum 2DSS. Finally an estimator which takes Radial Basis Function (RBF) neural network and ridge regression as fault localization model is trained by 2DSS to predict the suspiciousness of statements to be faulty. Experiments on Siemens Suit show that 2DSFLF improves the efficiency and precision of software fault localization compared with existing techniques like BPNN, PPDG, Tarantula and so fourth.

Effective software fault localization using predicted execution results

2015 ◽  
Vol 25 (1) ◽  
pp. 131-169 ◽  
Author(s):  
Ruizhi Gao ◽  
W. Eric Wong ◽  
Zhenyu Chen ◽  
Yabin Wang
Keyword(s):  
Fault Localization ◽  
Software Fault

scholarly journals Improving Software Fault Localization by Combining Spectrum and Mutation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 172296-172307
Author(s):  
Zhanqi Cui ◽  
Minghua Jia ◽  
Xiang Chen ◽  
Liwei Zheng ◽  
Xiulei Liu
Keyword(s):  
Fault Localization ◽  
Software Fault

scholarly journals Graph Mining for Software Fault Localization: An Edge Ranking based Approach

2018 ◽  
Vol 13 (4) ◽  
pp. 178-188 ◽  
Author(s):  
Marwa Gaber Abd El-Wahab ◽  
Amal Elsayed Aboutabl ◽  
Wessam M.H. EL Behaidy
Keyword(s):  
Graph Mining ◽  
Fault Localization ◽  
Software Fault
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