Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
The Future of Software Performance Engineering
FOSE '07 2007 Future of Software Engineering
A pattern-based performance completion for Message-oriented Middleware
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Automated Feature Model-Based Generation of Refinement Transformations
SEAA '09 Proceedings of the 2009 35th Euromicro Conference on Software Engineering and Advanced Applications
State dependence in performance evaluation of component-based software systems
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
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For successful and effective software development the ability to predict impact of design decisions in early development stages is crucial. Typically, to provide accurate predictions the models have to include low-level details such as used design patterns (e.g., concurrency design patterns) and underlying middleware platform. These details influence Quality of Service (QoS) metrics, thus are essential for accurate prediction of extra-functional properties such as performance and reliability. Existing approaches do not consider the relation of actual implementations and performance models used for prediction. Furthermore, they neglect the broad variety of implementations and middleware platforms, possible configurations, and varying usage scenarios. To allow more accurate performance predictions, we extend classical performance engineering by automated model refinements based on a library of reusable performance completions.