云服务的经验概率评估
Experiential probabilistic assessment of cloud services
摘要：
在升级现有软件系统的过程中，经常会遇到采用云服务的重大困难。可靠的早期分析可以促进将系统迁移到云平台的明智决策过程。它还可以降低系统质量目标的风险。为此，我们提出了一种交互式的目标推理方法，它是由一个概率层支持的云迁移风险的精确分析，以提高风险控制的可靠性。使用将数字文档处理系统集成到Microsoft Azure云平台的商业场景来说明该方法。
英文摘要：
Substantial difficulties in adopting cloud services are often encountered during upgrades of existing software systems. A reliable early stage analysis can facilitate an informed decision process of moving systems to cloud platforms. It can also mitigate risks against system quality goals. Towards this, we propose an interactive goal reasoning approach which is supported by a probabilistic layer for the precise analysis of cloud migration risks to improve the reliability of risk control. The approach is illustrated using a commercial scenario of integrating a digital document processing system to Microsoft Azure cloud platform.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
