Web服务的评估模型

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI:10.1109/IMSCCS.2006.32

Tao Han, He-qing Guo, Dong Li, Ying Gao

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引用次数: 6

摘要

Web服务的评估对于从众多候选Web服务中选择Web服务至关重要，但目前的评估模型仅根据公共服务属性对Web服务进行评估，不能满足最终用户的需求。提出了一种Web服务评价模型，该模型自定义不同领域的合理属性作为评价因子，并利用机器学习算法计算评价因子的权重。该模型在Web服务质量评价系统(WS-QES)中实现，可以为最终用户提供更加准确、合理的评价结果

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An Evaluation Model for Web Service

The evaluation for Web service is essential to select Web services from many candidates, but current evaluation models evaluate Web service only by common service attributes, which can not meet the requirements of end users. We propose an evaluation model for Web service, which customizes reasonable attributes in different domains as evaluation factors, and computes the weights of evaluation factors using machine learning algorithm. The model is implemented in Web service quality evaluation system (WS-QES), which can provide more accurate, reasonable results to end users

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First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)

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