传统的建模方法比较难实现网构软件系统的动态演化和自适应性,基于决策驱动的网构软件动态建模方法研究已经成为一个热点.从决策抽象和问题分解角度,提出一个决策驱动的网构软件动态演化模型.首先使用松弛原子算法来分解问题与动态组合决策;然后采用累加累减算法建立网构软件动态演化模型;最后设计相关的网构软件系统来验证该模型.性能分析表明,相比传统模型,该模型有良好的动态演化效果.%Traditional modeling methods are few implement to dynamic evolution and self-adaption for internetware system, it is one hot subject on researching modeling methods based on decision-driven mechanism for internetware. From the angles of decision abstraction and issue decomposition, it introduced a decision-driven dynamic evolution model for internetware. First decomposited issues and dynamic decision synthesis using relaxed atomic algorithm. Then applied accumulated and inverse accumulated algorithms to establish dynamic evolution model for internetware. Finally, validated the model via designing related internetware systems. The performance analysis shows the proposed model has sound dynamic evolution efficiency compared with traditional models.
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