Exception handling is the most common way of dealing with exceptions in robust software development. Exception handling refers to the process of signaling exceptions upon the detection of runtime errors and taking actions to respond to their occurrence. Despite being aimed at improving software robustness, software systems are still implemented without relying on explicit exception handling policies. Each policy defines the design decisions governing how exception handling should be implemented in a system. These policies are often not documented and are only implicitly defined in the system design. Thus, developers tend to introduce in the source code violations of implicit policies and these violations commonly cause failures in software systems. In this context, the goal of this thesis is to support developers in detecting and repairing exception handling violations. To achieve this goal, two complementary solutions were proposed. The first solution is based on a domain-specific language supporting the detection of violations by explicitly defining exception handling policies to be enforced in the source code. The proposed language was evaluated with a user-centric study and a case study. With the observations and experiences gathered in the user-centric study, we identified some language characteristics that hindered its use and that motivated new language constructs. In addition, the results of the case study showed that violations and faults in exception handling share common causes. Therefore, violations can be used to detect potential causes of exceptionrelated failures. To complement the detection of exception handling violations, this work also proposed a solution for supporting the repair of exception handling violations. Repairing these violations requires reasoning about the global impact that exception handling changes might have in different parts of the system. Thus, this work proposed a recommender heuristic strategy that takes into account the global context of where violations occur to produce recommendations. Each recommendation produced consists of a sequence of modifications that serves as a detailed blueprint of how an exception handling violation can be removed from the source code. The proposed recommender strategy also takes advantage of explicit policy specifications, although their availability is not mandatory. The results of our empirical assessments revealed that the proposed recommender strategy produced recommendations able to repair violations in approximately 70 per cent of the cases. When policy specifications are available, it produced recommendations able to repair violations in 97 per cent of the cases.