Spectrum-Based Fault Localization Framework to Support Fault Understanding
IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Spectrum-Based Fault Localization Framework to Support Fault Understanding
Yong WANGZhiqiu HUANGYong LIRongCun WANGQiao YU
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JOURNAL FREE ACCESS

2019 Volume E102.D Issue 4 Pages 863-866

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Abstract

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.

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© 2019 The Institute of Electronics, Information and Communication Engineers
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