Fault-prone module detection is important for assurance of software quality. We have proposed a novel approach for detecting fault-prone modules using spam filtering technique, named Fault-proneness filtering. In order to show the effectiveness of Fault-proneness filtering, we conducted comparative study with a static code analysis tool, PMD. With the result, we can say that Fault-proneness filtering can be practical as well as PMD.