Abstract: Shock spectrum tests are stochastic in nature and difficult to analyze. The classification analysis in data mining aims to identify useful information from test data by data preprocessing, building data warehouse of the shock spectrum test, decision tree analysis and comparing the results of evaluation. The methods for debugging shock spectrum tests are proposed for different products and test cases, to provide a powerful technology support and improve the quality and safety of products in shock spectrum tests.