Automating Performance Antipattern Detection and Software Refactoring in UML Models

The satisfaction of ever more stringent performance requirements is one of the main reasons for software evolution. However, it is complex to determine the primary causes of performance degradation, because they may depend on the joint combination of multiple factors (e.g., workload, software deployment, hardware utilization). With the increasing complexity of software systems, classical bottleneck analysis shows limitations in capturing complex performance problems. Hence, in the last decade, the detection of performance antipatterns has gained momentum as an effective way to identify performance degradation causes. We introduce PADRE (Performance Antipattern Detection and REfactoring), that is a tool for: (i) detecting performance antipattern in UML models, and (ii) refactoring models with the aim of removing the detected antipatterns. PADRE has been implemented within Epsilon, an open-source platform for model-driven engineering. It is based on a methodology that allows performance antipattern detection and refactoring within the same implementation context.