Capacity planning for Web performance: metrics, models, and methods
Capacity planning for Web performance: metrics, models, and methods
Proceedings of the 2nd international workshop on Software and performance
Analytic model of Web servers in distributed environments
Proceedings of the 2nd international workshop on Software and performance
Using analytic models predicting middleware performance
Proceedings of the 2nd international workshop on Software and performance
Attribute-Based Architecture Styles
WICSA1 Proceedings of the TC2 First Working IFIP Conference on Software Architecture (WICSA1)
Generation of Distributed System Test-Beds from High-Level Software Architecture Descriptions
Proceedings of the 16th IEEE international conference on Automated software engineering
A case for test-code generation in model-driven systems
Proceedings of the 2nd international conference on Generative programming and component engineering
Early performance testing of distributed software applications
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Proceedings of the ISSTA 2006 workshop on Role of software architecture for testing and analysis
MDABench: Customized benchmark generation using MDA
Journal of Systems and Software
IEEE Transactions on Software Engineering
A QoS test-bed generator for web services
ICWE'07 Proceedings of the 7th international conference on Web engineering
How design patterns affect application performance – a case of a multi-tier J2EE application
FIDJI'04 Proceedings of the 4th international conference on Scientific Engineering of Distributed Java Applications
Performance prediction of component-based systems
Proceedings of the 2004 international conference on Architecting Systems with Trustworthy Components
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One of the major problems in building large-scale enterprise systems is anticipating the performance of the eventual solution before it has been built. This problem is especially germane to modern Internet-based e-business applications, where failure to provide high performance and scalability can lead to application and business failure. The fundamental software engineering problem is compounded by many factors, including application diversity, architectural trade-offs and options, COTS component integration requirements, and differences in performance of various software and hardware infrastructures. In the ForeSight project, a practical solution to this problem, based on empirical testing is being investigated. The approach constructs useful models that act as predictors of the performance and the effects of architectural trade-offs for component-based systems such as CORBA, COM+ and J2EE. This paper focuses on describing the issues involved in designing and executing a test suite that is efficient to characterize the behavior and performance profile of a J2EE application server product. The aims of the test suite are described, along with its design and some illustrative empirical results to show it's effectiveness..