Spectrum-Based Fault Localization Framework to Support Fault Understanding

Yong WANG  Zhiqiu HUANG  Yong LI  RongCun WANG  Qiao YU  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.4   pp.863-866
Publication Date: 2019/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8233
Type of Manuscript: LETTER
Category: Software Engineering
Keyword: 
fault understanding,  spectrum-based fault localization,  method- and block-level debugging,  

Full Text: FreePDF(226.4KB)


Summary: 
A spectrum-based fault localization technique (SBFL), which identifies fault location(s) in a buggy program by comparing the execution statistics of the program spectra of passed executions and failed executions, is a popular automatic debugging technique. However, the usefulness of SBFL is mainly affected by the following two factors: accuracy and fault understanding in reality. To solve this issue, we propose a SBFL framework to support fault understanding. In the framework, we firstly localize a suspicious fault module to start debugging and then generate a weighted fault propagation graph (WFPG) for the hypothesis fault module, which weights the suspiciousness for the nodes to further perform block-level fault localization. In order to evaluate the proposed framework, we conduct a controlled experiment to compare two different module-level SBFL approaches and validate the effectiveness of WFPG. According to our preliminary experiments, the results are promising.