A fault localization method based on model combination
Journal Title: Science Paper Online - Year 2012, Vol 7, Issue 1
Abstract
Automated fault-localization technique has become a hot topic in research fields of software engineering. However, most of techniques are based on single type program node (e.g. statement, predicate, etc.) until now, when these techniques utilized to locate the corresponding types of errors, it has good performance in generally. But in other situation, the opposite is true. Therefore, we draw on the method of Integrated Learning in machine learning to contribute a fault-localization model which combines the information of statement-based coverage and predicate-based coverage method. In addition, three new fault-localization methods are proposed. The experimental results show that our methods have better effectiveness and adaptability for fault-localization than previous methods.
Authors and Affiliations
Qifeng Tang, Lei Xu, Ju Qian, Lin Chen, Zhenyu Zhang
Keywords
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