Trevor Parsons
ABSTRACT
Component-based enterprise systems often suffer from performance issues as a result of poor system design. In this paper, we propose a framework to automatically detect, assess and visualize poor system design, from a performance perspective, by analyzing run-time data using data mining techniques.
- E. Cecchet et al., "Performance and Scalability of EJB Applications", Proc of 17 th ACM Conference on Object-Oriented Programming, Seattle, Washington, 2002 Google Scholar
Digital Library
- Java Memory Profiler, http://www.khelekore.org/jmp/Google Scholar
- Quest Software's Performasure, http://www.quest.com/performasure/index.aspGoogle Scholar
- Smith, C. U. and Williams, L. G., "Performance Solutions: A Practical Guide to Creating Responsive, Scalable Software", Addison-Wesley, Boston, MA, 2002. Google ScholarDigital Library
- R. Keller, et al., "Pattern-based reverse-engineering of design components". Proc. of the 21st International Conference on Software Engineering, L.A., USA, 1999. Google ScholarDigital Library
- Parsons, T. and Murphy, J. "A framework for automatically detecting and assessing performance antipatterns in component based systems using run-time analysis". The 9th International Workshop on Component Oriented Programming, part of the 18th European Conference on Object Oriented Programming. June 2004, Oslo, Norway.Google Scholar
Index Terms
- A framework for detecting, assessing and visualizing performance antipatterns in component based systems
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