Performance Prediction for Component Compositions
Performance Prediction for Component Compositions
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组件组合的性能预测
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
D. Hammer
中科院分区：
文献类型：
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作者：
E. M. Eskenazi;A. V. Fioukov;D. Hammer
提出了一种逐步预测部件组成性能的方法。该方法按顺序考虑影响组件组合性能的主要因素：组件操作、活动和活动的组合。在每个步骤中，可以构建各种模型-分析，统计，模拟-以指定每个相关因素对组合物性能的贡献。架构师可以灵活地选择他们在每个步骤中使用的模型，以权衡预测的准确性和预测的工作量。最后以某汽车导航系统的性能预测为例进行了说明。
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 specify the contribution of each relevant factor to the performance of the composition. The architects can flexibly choose which model they use at each step in order to trade prediction accuracy against prediction effort. The approach is illustrated with an example about the performance prediction for an Automobile Navigation System.