Exploiting load testing and profiling for Performance Antipattern Detection

摘要

Context: The performance assessment of complex software systems is not a trivial task since it depends on the design, code, and execution environment. All these factors may affect the system quality and generate negative consequences, such as delays and system failures. The identification of bad practices leading to performance flaws is of key relevance to avoid expensive rework in redesign, reimplementation, and redeployment.