当前位置: X-MOL 学术IEEE Trans. Serv. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Service Regulation Analysis Framework for Service Design Time: A Case Study of Internet Healthcare Service
IEEE Transactions on Services Computing ( IF 5.5 ) Pub Date : 2024-08-30 , DOI: 10.1109/tsc.2024.3451171
Jintao Chen 1 , Shengye Pang 1 , Meng Xi 1 , Tiancheng Zhao 1 , Shuiguang Deng 1 , Jianwei Yin 1
Affiliation  

Innovation and prosperity of the Modern Service Industry bring convenience and efficiency to our society. However, the service governance capability lags behind the development of the industry, causing problems such as service violations and poor service quality. Existing works towards service regulation for service design time such as business process compliance checking are restricted to certain types of rules. When services or policies undergo evolution, rapid iteration becomes challenging. Motivated by this, we propose a service regulation analysis framework for service design time. It includes three phases: the service regulation modeling phase, which realizes modeling of regulation requirements; the service violation recognition phase, proposing an automatic detection algorithm based on process semantics; and the violation trace-back phase, which supports rapid localization of violations. Based on previous work, we construct the Enhanced-LPD4VR, a dataset with a broader range of processes and more nuanced annotations. Furthermore, we introduce an Internet healthcare service case study that illustrates the effectiveness of our framework through comparative experiments.

中文翻译:


服务设计时间服务监管分析框架——以互联网医疗服务为例



现代服务业的创新和繁荣为我们的社会带来了便利和效率。但是,服务治理能力滞后于行业发展,导致服务违规、服务质量差等问题。针对服务设计时间的服务监管的现有工作(例如业务流程合规性检查)仅限于某些类型的规则。当服务或策略发生演变时,快速迭代变得具有挑战性。受此启发,我们提出了一个服务设计时间的服务监管分析框架。包括三个阶段:服务监管建模阶段,实现监管需求的建模;服务违例识别阶段,提出一种基于进程语义的自动检测算法;以及 Violation Trace-back 阶段,支持快速定位违规。在以前的工作基础上,我们构建了 Enhanced-LPD4VR,这是一个具有更广泛过程和更细微注释的数据集。此外,我们介绍了一个互联网医疗保健服务案例研究,通过比较实验说明了我们框架的有效性。
更新日期:2024-08-30
down
wechat
bug