Software Fault Localization by Integrating the Suspiciousness of Statements and Sequences
Qiming Luo · Journal of Chinese Computer Systems · 2013
Automated fault localization is significant for improving the efficiency of software debugging.We propose to generate statement sequences and compute their suspiciousness from the spectrum information of statements as well as control and data dependency relations based on local optimality.Then the suspiciousness of sequences and statements are integrated to produce a suspiciousness ranking of each statement.Performance comparison with two methods based on suspiciousness of statements on the Siemens Suite has validated the effectiveness of proposed approach.