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Visual ppinot: A Graphical Notation for Process Performance Indicators

机译:视觉符号:过程绩效指标的图形表示

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摘要

Process performance indicators (PPIs) allow the quantitative evaluation of business processes, providing essential information for decision making. It is common practice today that business processes and PPIs are usually modelled separately using graphical notations for the former and natural language for the latter. This approach makes PPI definitions simple to read and write, but it hinders maintenance consistency between business processes and PPIs. It also requires their manual translation into lower-level implementation languages for their operationalisation, which is a time-consuming, error-prone task because of the ambiguities inherent to natural language definitions. In this article, Visual ppinot, a graphical notation for defining PPIs together with business process models, is presented. Its underlying formal metamodel allows the automated processing of PPIs. Furthermore, it improves current state-of-the-art proposals in terms of expressiveness and in terms of providing an explicit visualisation of the link between PPIs and business processes, which avoids inconsistencies and promotes their co-evolution. The reference implementation, developed as a complete tool suite, has allowed its validation in a multiple-case study, in which five dimensions of Visual ppinot were studied: expressiveness, precision, automation, understandability, and traceability.
机译:流程绩效指标(PPI)允许对业务流程进行定量评估,为决策提供重要信息。今天的惯例是,业务流程和PPI通常使用前者的图形符号和后者的自然语言分别建模。这种方法使PPI定义易于读取和写入,但会阻碍业务流程和PPI之间的维护一致性。它还需要将它们手动翻译为较低级别的实现语言以进行操作,由于自然语言定义固有的歧义,这是一项耗时且容易出错的任务。在本文中,介绍了Visual ppinot,这是一种用于定义PPI和业务流程模型的图形表示法。它的基础形式元模型允许对PPI进行自动处理。此外,它在表达能力方面以及在对PPI和业务流程之间的链接进行显式可视化方面都改进了当前的最新建议,从而避免了不一致并促进了它们的共同进化。作为完整工具套件开发的参考实现,已允许在多案例研究中对其进行验证,该案例研究了Visual ppinot的五个方面:表达性,精度,自动化,可理解性和可追溯性。

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