A UML tool for an automatic generation of simulation programs
Proceedings of the 2nd international workshop on Software and performance
Performance solutions: a practical guide to creating responsive, scalable software
Performance solutions: a practical guide to creating responsive, scalable software
Computer Simulation in Management Science
Computer Simulation in Management Science
XACDML- Extensible ACD Markup Language
ANSS '03 Proceedings of the 36th annual symposium on Simulation
A simulation-based approach to software performance modeling
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
Automatic performance evaluation and feedback for MASCOT designs
Proceedings of the 5th international workshop on Software and performance
From Model Driven Engineering to Verification Driven Engineering
SEUS '08 Proceedings of the 6th IFIP WG 10.2 international workshop on Software Technologies for Embedded and Ubiquitous Systems
RUP Extension For the Software Performance
COMPSAC '08 Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference
Hi-index | 0.00 |
This paper describes the mapping of a software model to a simulation model in order to support the performance requirement verification. More specifically, we describe a mapping of a software model, based on UML Deployment, and State Machine diagrams annotated with performance information, to a simulation model that is specified in Activity Cycle Diagrams. The simulation model is translated to a simulation program so that verification of performance requirements can be made. The mapping is part of a framework based on the UML Profile for MARTE (Modeling and Analysis of Real-Time and Embedded Systems) employed for performance requirement verification of real time computers systems. An example is presented to show the feasibility of the mapping.