Quantitative Evaluation of Model-Driven Performance Analysis and Simulation of Component-Based Architectures PROJECT TITLE :Quantitative Evaluation of Model-Driven Performance Analysis and Simulation of Component-Based ArchitecturesABSTRACT:During the last decade, researchers have proposed a number of model transformations enabling performance predictions. These transformations map performance-annotated software architecture models into stochastic models solved by analytical means or by simulation. However, so far, a detailed quantitative evaluation of the accuracy and efficiency of different transformations is missing, making it hard to select an adequate transformation for a given context. This paper provides an in-depth comparison and quantitative evaluation of representative model transformations to, e.g., queueing petri nets and layered queueing networks. The semantic gaps between typical source model abstractions and the different analysis techniques are revealed. The accuracy and efficiency of each transformation are evaluated by considering four case studies representing systems of different size and complexity. The presented results and insights gained from the evaluation help software architects and performance engineers to select the appropriate transformation for a given context, thus significantly improving the usability of model transformations for performance prediction. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Impedance and Damping Characteristics of Grid-Connected VSCs With Power Synchronization Control Strategy Replicating and Re-Evaluating the Theory of Relative Defect-Proneness