面向分层软件事件日志分析的递归感知建模与发现

M. Leemans, Wil M.P. van der Aalst, M. Brand
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引用次数: 25

摘要

本文提出了一种新的过程树模型的层次递归扩展;2)第一种,递归感知过程模型发现技术,它利用事件日志中的分层信息,通常可用于软件系统。该技术允许我们在多个粒度级别上分析现实条件下软件系统的操作过程。这项工作可以定位在逆向工程和过程挖掘之间。所提出的方法的实现是作为ProM插件可用的。基于现实生活(软件)事件日志的实验结果证明了该方法的可行性和实用性,并显示了利用可用层次结构加速发现的巨大潜力。
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Recursion aware modeling and discovery for hierarchical software event log analysis
This paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that leverages hierarchical information in event logs, typically available for software systems. This technique allows us to analyze the operational processes of software systems under real-life conditions at multiple levels of granularity. The work can be positioned in-between reverse engineering and process mining. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life (software) event logs demonstrate the feasibility and usefulness of the approach and show the huge potential to speed up discovery by exploiting the available hierarchy.
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