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Graph-based Pattern Matching and Discovery for Process-centric Service Architecture Design and Integration

机译:基于图形的模式匹配和发现,以过程为中心的服务架构设计和集成

摘要

Process automation and applications integration initiatives are often complex and involve significant resources in large organisations. The increasing adoption of service-based architectures to solve integration problems and the widely accepted practice of utilising patterns as a medium to reuse design knowledge motivated the definition of this work. In this work a pattern-based framework and techniques providing automation and structure to address the process and application integration problem are proposed. The framework is a layered architecture providing modelling and traceability support to different abstraction layers of the integration problem. To define new services - building blocks of the integration solution - the framework includes techniques to identify process patterns in concreteudprocess models. Graphs and graph morphisms provide a formal basis to represent patterns and their relation to models. A family of graph-based algorithms support automation during matching and discovery of patterns in layered process service models. The framework and techniques are demonstrated in a case study. The algorithms implementing the pattern matching and discovery techniques are investigated through a set of experiments from an empirical evaluation. Observations from conducted interviews to practitioners provide suggestions to enhance the proposed techniques and direct future work regarding analysis tasks in process integration initiatives.
机译:流程自动化和应用程序集成计划通常很复杂,并且涉及大型组织中的大量资源。越来越多地采用基于服务的体系结构来解决集成问题,以及广泛接受的以模式为媒介来重用设计知识的实践激发了这项工作的定义。在这项工作中,提出了一种基于模式的框架和技术,该框架和技术提供了自动化和结构来解决流程和应用程序集成问题。该框架是分层体系结构,可为集成问题的不同抽象层提供建模和可追溯性支持。为了定义新服务-集成解决方案的构建块-框架包括识别具体 udprocess模型中的过程模式的技术。图形和图形态射提供了表示模式及其与模型的关系的正式基础。基于图的算法家族支持分层过程服务模型中模式的匹配和发现期间的自动化。案例研究演示了该框架和技术。通过实证评估中的一组实验,研究了实现模式匹配和发现技术的算法。从进行的访谈中观察到的对从业人员的意见为提高建议的技术和指导未来有关流程集成计划中分析任务的工作提供了建议。

著录项

  • 作者

    Gacitua-Decar Veronica;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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