Abstract: Nowadays the human beings are more and more reliant on software systems which have high reliability and usability,and the technology of software defect prediction has been one of the most active parts of software engineering.This paper introduced the technology of software defect prediction on the basis of sequential pattern mining and designed a model for software defect prediction with the technology of mining statistically significant pattern．It described the architecture and detailed implementation of the algorithms named “InfoMiner” and “STAMP”.The model using InfoMiner and STAMP to mine patterns,chi-square test to feature selection and SVM to classify can find unknown defects with high probability.Experimental results show that the model is able to get high prediction accuracy,so that it is valua-ble and has future prospects.

Key words: Data mining,Sequential pattern,Software defect,Information gain,Classification and prediction