In an empirical study of 52 ECLIPSE plug-ins, we found that the software design as well as past failure history, can be used to build support vector machines which accurately predict failure-prone components in new programs. Our prediction only requires usage relationships between components, which are typically defined in the design phase; thus, designers can easily explore and assess design alternatives in terms of predicted quality. 