面向Web服务集成的可计算性评价
Evaluation of Computability Criterions for Runtime Web Service Integration
摘要：
今天的竞争环境驱使企业扩大他们的重点，并与他们的商业伙伴合作，以实现必需品。业务合作伙伴之间的紧密协调有助于在全球范围内共享和集成服务逻辑。但是，集成不同企业的服务逻辑会导致指数问题，这要求开发人员理解整个服务，必须解决合适的方法来集成服务。这是一项复杂而耗时的任务。因此，目前的重点是有一个机械化的系统来分析业务逻辑，并传达适当的模式来集成它们。没有标准的模型来处理这些问题，本文提出的一个这样的框架单独研究了业务逻辑，并提出了适当的结构来整合它们。该模型的一个创新概念是属性评估系统，它检查服务逻辑并为所需的服务生成业务逻辑属性模式（BLPS）。BLPS保存必要的信息以识别用于集成服务逻辑的正确结构。在集成时，系统消费该BLPS模式，并提出可行的方法来集成服务逻辑。此外，如果服务逻辑试图集成在无效的结构中或试图违反可访问性级别，系统将抛出异常并提供必要的信息。这有助于开发人员确定高效的结构，以最少的工作量集成服务。
英文摘要：
Today's competitive environment drives the enterprises to extend their focus and collaborate with their business partners to carry out the necessities. Tight coordination among business partners assists to share and integrate the service logic globally. But integrating service logics across diverse enterprises leads to exponential problem which stipulates developers to comprehend the whole service and must resolve suitable method to integrate the services. It is complex and time-consuming task. So the present focus is to have a mechanized system to analyze the Business logics and convey the proper mode to integrate them. There is no standard model to undertake these issues and one such a framework proposed in this paper examines the Business logics individually and suggests proper structure to integrate them. One of the innovative concepts of proposed model is Property Evaluation System which scrutinizes the service logics and generates Business Logic Property Schema (BLPS) for the required services. BLPS holds necessary information to recognize the correct structure for integrating the service logics. At the time of integration, System consumes this BLPS schema and suggests the feasible ways to integrate the service logics. Also if the service logics are attempted to integrate in invalid structure or attempted to violate accessibility levels, system will throw exception with necessary information. This helps developers to ascertain the efficient structure to integrate the services with least effort.
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。
