Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
A Modeling Technique for the Performance Analysis of Web Searching Applications
IEEE Transactions on Knowledge and Data Engineering
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In this paper we propose the performance analysis and improvement methodology based on Hierarchically Combined Queueing Petri Nets (HQPNs). To accomplish the goal, in this paper, we firstly propose architecture design and performance profiling methodology by using UML. Secondly, we propose transformation algorithm from the UML based software architecture into HQPNs model. Lastly we offers performance analysis tool to identify potential bottleneck and critical component from the derived HQPNs model. We validate the accuracy of performance prediction by applying real system development scenario. We compare the predicted performance results with the performance data of the real system. This approach reduces the time and the cost caused by developing the HQPNs model at the software architecture design phase.