In the recent years, a huge raise in networks’ complexity was witnessed. Along the raise in complexity, many management challenges also arose. For instance, managed entities’ heterogeneity demands administrators and managers to deal with cumbersome implementation and deployment specificities. Moreover, infrastructures’ current size and growth-trends show that is becoming infeasible to rely on human-in-the-loop management techniques. Inside the problem domain of network management, Fault Management is appealing becauseof its impact in operational costs. Researches estimate that more than 33% of operational costs are related to preventing and recovering faults, where about 40% of this investment is directed to solve human-caused operational errors. Hence, addressing human interaction is mostly unarguably a need. Among different approaches, the Self-Healing, a property of Autonomic Network Management’s proposal, targets to avoid humans’ interactions and decisions on Fault Management loops, thereupon unburden administrators and managersfrom performing Fault Management-related tasks. Some researches on Self-Healing enabling approaches suppose Fault Management capabilities are planned in design-time. This assumption makes impossible to apply such proposals on legacy systems. Other researches suggests runtime analysis and instrumentation of applications’ bytecode. Albeit applicableto some legacy systems, these last proposals are tightly-coupled to implementation’s issues of underlaying technologies. For this reason, it is hard to apply such proposals end-to-end, for example, in a scenario encompassing many managed entities implemented through different technologies. However, it seems possible to offer to administrators and managers facilities trough which they could express they knowledge about networks’ anomalies and faults, and facilities through which this knowledge could be leveraged. This master dissertation has as objective to present and evaluate a common solution to imbue network management systems with self-healing capabilities. The solution relies on workplans as a mean to gather administrators and managers’ knowledge on how to diagnose and heal networks’ anomalies and faults. Besides that, the design and implementation of a standard framework for fault detection and notification customization is discussed while considering a P2P-Based Network Management System as its foundations. At last, an experimental evaluation renders clear the proposal’s feasibility from the operational point of view.