Abstract
We introduce an approach for automatic detection of performance antipatterns. The approach is based on a number of advanced monitoring and analysis techniques. The advanced analysis is used to identify relationships and patterns in the monitored data. This information is subsequently used to reconstruct a design model of the underlying system, which is loaded into a rule engine in order to identify predefined antipatterns. We give results of applying this approach to identify a number of antipatterns in two JEE applications. Finally, this work also categorises JEE antipatterns into categories based on the data needed to detect them. ©JOT, 2002.
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CITATION STYLE
Parsons, T., & Murphy, J. (2008). Detecting performance anti patterns in component based enterprise systems. Journal of Object Technology, 7(3), 55–90. https://doi.org/10.5381/jot.2008.7.3.a1
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