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Improving fault localization for Simulink models using search-based testing and prediction models
2017
2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)
One promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. In many practical situations, adding test cases is not a cost-free option because test oracles are developed manually or running test cases is expensive. Hence, we require to have test suites that are both diverse and small to improve debugging. In this paper, we focus on improving fault localization of Simulink models by
doi:10.1109/saner.2017.7884636
dblp:conf/wcre/LiuLNB17
fatcat:7cytcz36svbcbgoavokqwh3ohe