2008The Journal of Object TechnologyOpen access

Detecting Performance Antipatterns in Com-ponent Based Enterprise Systems.

Trevor Parsons, John Murphy

Open full text 101 citations

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.

Open-access reader

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 101 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Computer science, Data mining, Software engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Detecting Performance Antipatterns in Com-ponent Based Enterprise Systems. — Research Paper | ScholarLens