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cs.SE2025
Using Fourier Analysis and Mutant Clustering to Accelerate DNN Mutation Testing
Ali Ghanbari, Sasan Tavakkol
Deep neural network (DNN) mutation analysis is a promising approach to evaluating test set adequacy. Due to the large number of generated mutants that must be tested on large datas…
cs.SE2025
On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
Lauren Lyons, Ali Ghanbari
Mutation analysis of deep neural networks (DNNs) is a promising method for effective evaluation of test data quality and model robustness, but it can be computationally expensive,…