The invention provides a two-stage discrimination defect report severity prediction method based on a Spacy word vector, and the method comprises the following steps of: firstly, searching a historical defect report from a defect tracking system where a project is located, extracting corresponding contents of a description information summery attribute and a severity degree severity attribute to obtain a defect report training data set, and then performing preprocessing and generating a corresponding vector; and finally, executing a two-stage discrimination process to construct a severity prediction model. The method has the advantages that: the Naive Bayes algorithm is adopted in the two-stage discrimination process, the algorithm is easy to implement and good in effect, and the accuracyof the prediction model can be guaranteed; according to the severity prediction model, the same data is applied twice, so that on the one hand, secondary utilization of the same batch of data is realized, and the performance of the model is improved; and on the other hand, two-stage discrimination is realized, so that the pressure of the multi-classification Naive Bayes prediction model can be reduced under the condition of correct large-class classification, and the accuracy of the prediction model is further improved.