Evgeni M. Eskenazi

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Early assessment of the non-functional properties of component compositions is one of the hottest issues in component-based architecting. We describe a method for evaluating the emergent static properties of an architecture, given the features of its constituents. The estimation framework is based on composition rules and the specification of the static(More)
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This paper describes a method for the “Analysis and Prediction of the Performance of Evolving Architectures” (APPEAR). This method aims at performance estimation of the newly developed parts of software product families during the architecting phase. The method combines both structural and statistical techniques in a flexible way, i.e. it allows one to(More)
A stepwise approach is proposed to predict the performance of component compositions. The approach considers the major factors influencing the performance of component compositions in sequence: component operations, activities, and composition of activities. During each step, various models – analytical, statistical, simulation − can be constructed to(More)
The quantitative evaluation of certain quality attributes— performance, timeliness, and reliability— is important for component-based embedded systems. We propose an approach for the performance estimation of component-based software that forms a product family. The proposed approach, Analysis and Prediction of Performance for Evolving Architectures(More)
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