Test case prioritization with neuron valuation based pattern

•Filtering error-triggering data in testing DNNs is cost-effective.•The set of test cases may contain various types of data.•Patterns for DNN-based classifiers can help in prioritizing the abnormal inputs.•Our pattern consists of neurons and the computed thresholds for pattern matching.•Evaluation results show our advantage in prioritizing error-triggering samples.