Effective Software Fault Localization Using an RBF Neural Network

Abstract

We propose the application of a modified radial basis function neural network in the context of software fault localization, to assist programmers in locating bugs effectively. This neural network is trained to learn the relationship between the statement coverage information of a test case and its corresponding execution result, success or failure. The… (More)
DOI: 10.1109/TR.2011.2172031

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@article{Wong2012EffectiveSF, title={Effective Software Fault Localization Using an RBF Neural Network}, author={W. Eric Wong and Vidroha Debroy and Richard Golden and Xiaofeng Xu and Bhavani M. Thuraisingham}, journal={IEEE Transactions on Reliability}, year={2012}, volume={61}, pages={149-169} }