In many cases developers do not understand appearing performance problems after the implementation or some changes. The problems can often be traced back to same root causes, which are present in many different software systems. Some of these problems are collected and analyzed, called anti-patterns, and can be detected by software diagnosis tools. Thus, organizations are using application performance management (APM) tools, to detect bottlenecks and other performance problems in their product. To support the developers, this thesis will deal with visualization of detected anti-patterns. Information about the anti-pattern, individual data from the system under test (SUT) to understand the problem and their solutions are a part of the report. The result of the work will be a prototype framework, which uses available diagnosis and APM results to generate the visualized based report, e.g. stack traces and time series.