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A Metaheuristic Search Framework to Derive Cancer Care Services from Business Process Models

机译：从业务流程模型中派生癌症护理服务的成分型搜索框架

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Cancer Care involves not only handling patients' medical or physical needs but also other services to facilitate patient needs which are underpinned by appropriate software systems that assist in patient care processes. The Service-Oriented Architecture (SOA) model of computing has become widely adopted and can provide efficient and agile business solutions in the face of rapid changes to business requirements. Instead of adopting a more traditional way of building an IT system for Cancer Care by rigidly piecing together a collection of hardware, software and networking, SOA offers the opportunity to build the IT systems in an increasingly flexible and reconfigurable way. However, current service identification methods can suffer from shortcomings such as a lack of computational support, and not being able to address all the necessary activities of the service identification. To address these shortcomings, this paper presents a comprehensive metaheuristic search framework for deriving SOA-based services applied to Cancer Care business process models. This framework is evaluated using both quantitative and qualitative methods with the help of domain experts at King Hussein Cancer Centre (KHCC), Jordan. Evaluation by domain experts confirmed that the resulting services are feasible (i.e., valid services that can be practically applied for real-life projects) that the domain experts might not have arrived at manually. Statistical analysis shows candidate services produced by the search-based framework are superior to the services produced manually by domain experts at KHCC with respect to metrics for coupling and cohesion.
机译：癌症护理不仅涉及处理患者的医疗或身体需求，还涉及其他服务，以促进患者需求，这些服务受到有助于患者护理过程的适当软件系统的基础。面向服务的体系结构（SOA）计算模型已被广泛采用，并可在对业务需求的快速变化方面提供高效和敏捷的业务解决方案。通过刚性地拼接一系列硬件，软件和网络来说，使用刚性拼接硬件，软件和网络，采用更传统的方式为癌症监护提供更传统的方式，而不是采用更传统的方式。但是，当前的服务识别方法可能会遭受缺乏计算支持的缺点，并且不能解决服务识别的所有必要活动。为解决这些缺点，本文提出了一个全面的成分型搜索框架，用于推导基于SOA的服务，适用于癌症护理业务流程模型。在侯赛因癌症中心（KHCC）的域名专家的帮助下，使用定量和定性方法评估该框架。通过域专家的评估证实，所产生的服务是可行的（即，可以实际应用的有效服务，即现实生活项目），领域专家可能没有手动到达。统计分析显示由搜索的框架产生的候选服务优于由KHCC的域专家在耦合和凝聚力的度量标准手动生产的服务。

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