Exception handling mechanisms are models commonly used in programming languages to structure the exceptional execution flow of software modules. These mechanisms enable the detection and signaling of exception occurrences, allowing these modules to take corrective actions to recover a module to a correct state. Recent studies show that recurrent failures and performance issues in software applications are related to the poor structuring of exception handling code. The preliminary studies performed in the context of this dissertation not only confirm these results, but also show other interesting facts that occur during software evolution. In particular, it was realized that it is often very common to observe ineffective exception handling actions in the first releases of a system. It was also realized that little (or no) effort was allocated to improve the quality of these action during the software evolution. Recent studies that aim aiding software developers to deal with exception handling elements fail in assisting them in a crucial task: implementing well-structured exception handling code since the first release of a system. In this context, this dissertation proposes a recommender system able to provide code fragments implementing exception handling code. The proposed strategy aims to assist developers in implementing their own code in their applications. The system extracts structural information from the code under development to search for examples in a local repository in order to recommend code examples that share similar structural context with the code that the developer is working on. The system implemented in the context of this dissertation recommends code examples implemented in Java.