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AB-BPM: Performance-Driven Instance Routing for Business Process Improvement

机译：AB-BPM：性能驱动的实例路由，用于改进业务流程

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摘要

A fundamental assumption of Business Process Management (BPM) is that redesign delivers new and improved versions of business processes. This assumption, however, does not necessarily hold, and required compensatory action may be delayed until a new round in the BPM life-cycle completes. Current approaches to process redesign face this problem in one way or another, which makes rapid process improvement a central research problem of BPM today. In this paper, we address this problem by integrating concepts from process execution with ideas from DevOps. More specifically, we develop a technique called AB-BPM that offers AB testing for process versions with immediate feedback at runtime. We implemented this technique in such a way that two versions (A and B) are operational in parallel and any new process instance is routed to one of them. The routing decision is made at runtime on the basis of the achieved results for the registered performance metrics of each version. AB-BPM provides for ultimate convergence towards the best performing version, no matter if it is the old or the new version. We demonstrate the efficacy of our technique by conducting an extensive evaluation based on both synthetic and real-life data.
机译：业务流程管理（BPM）的基本假设是重新设计可以提供新的和改进的业务流程版本。但是，此假设不一定成立，所需的补偿措施可能会延迟到BPM生命周期的新一轮完成为止。当前的流程重新设计方法以一种或另一种方式面临着这个问题，这使得快速的流程改进成为当今BPM的核心研究问题。在本文中，我们通过将流程执行中的概念与DevOps中的思想相集成来解决此问题。更具体地说，我们开发了一种称为AB-BPM的技术，该技术为流程版本提供AB测试，并在运行时立即提供反馈。我们以两种版本（A和B）可以并行运行并且将任何新流程实例路由到其中一个的方式实施了该技术。路由决策是在运行时根据每个版本的已注册性能指标的已实现结果做出的。无论是旧版本还是新版本，AB-BPM都可以实现最佳性能的最终融合。我们通过对合成数据和实际数据进行广泛的评估来证明我们技术的有效性。

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