There are increasing demands for more computing power. Parallel hardware is now commonplace and could be a cost-effective solution. However, to many developers, parallel programming is not a user-friendly task. At the same time, many programmers are turning to object-oriented techniques. Unfortunately, parallel computing with objects introduces many new problems. Tools are needed to help programmers convert their sequential object-oriented programs into parallel ones. This paper introduces Revy, a platform-neutral, easy-to-use, object/method granularity visualization system that assists parallel programmers in transforming their sequential object-oriented programs into parallel ones. Revy allows users to view and inspect the object communication patterns of their sequential applications and it serves as a profiling system that helps them identify the high-granularity objects/methods as candidates for parallel execution. This paper describes the requirements, architecture and implementation of Revy and illustrates the ideas with a case study.