Our daily life increasingly relies on Web applications. Web applications provide us with abundant services to support our everyday activities. As a result, quality assurance for Web applications is becoming important and has gained much attention from software engineering community. In recent years, in order to enhance software quality, many software fault prediction models have been constructed to predict which software modules are likely to be faulty during operations. Such models can be utilized to raise the effectiveness of software testing activities and reduce project risks. Although current fault prediction models can be applied to predict faulty modules of Web applications, one limitation of them is that they do not consider particular characteristics of Web applications. In this paper, we try to build fault prediction models aiming for Web applications after analyzing major characteristics which may impact on their quality. The experimental study shows that our approach achieves very promising results.