Abstract
Accurately predicting software bugs is one of software engineering’s great tasks. Current bug prediction algorithm take one aspect of software for granted, while neglecting the other aspect. This paper extracted static and dynamic features from software, which were used to predict bugs using relevance vector machine algorithm. Experimental results show that the new method outperforms others to a great extent.
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