Advances in Petri nets 1986, part I on Petri nets: central models and their properties
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
IEEE Transactions on Software Engineering
Java virtual machine profiler interface
IBM Systems Journal
Software component composition: a subdomain-based testing-theory foundation
Software Testing, Verification & Reliability
An Empirical Investigation of the Applicability of a Component-Based Performance Prediction Method
EPEW '08 Proceedings of the 5th European Performance Engineering Workshop on Computer Performance Engineering
Performance evaluation of component-based software systems: A survey
Performance Evaluation
Usage profile and platform independent automated validation of service behavior specifications
Proceedings of the 2nd International Workshop on the Quality of Service-Oriented Software Systems
Integration of event-based communication in the palladio software quality prediction framework
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
An accuracy information annotation model for validated service behavior specifications
MODELS'10 Proceedings of the 2010 international conference on Models in software engineering
From monolithic to component-based performance evaluation of software architectures
Empirical Software Engineering
Performance prediction of component-based systems
Proceedings of the 2004 international conference on Architecting Systems with Trustworthy Components
Towards an engineering approach to component adaptation
Proceedings of the 2004 international conference on Architecting Systems with Trustworthy Components
Model-based performance analysis of software architectures under uncertainty
Proceedings of the 9th international ACM Sigsoft conference on Quality of software architectures
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Performance predictions on the software architecture level support the design and evaluation of component-based systems. Composable and parameterized models are used in current prediction approaches for reasoning. The actual model for an influencing factor or component of the system is the result of a trade-off between the required accuracy, prediction speed, and validation effort. Different models can have different accuracies and the overall effect on the prediction depends on their composition and used parameter values. Existing prediction approaches neglect to take into account this potentially difference in the accuracies of models. In this paper, we present an approach in which accuracy statements attached to composable performance models allow analyzing their influence on predictions without adding restrictions on the compositionality of each model. The resulting support for risk mitigation in decision making, prediction quality evaluation, as well as inaccuracy effect propagation from parts of the analyzed system on the overall prediction results are evaluated on a case study.