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Visualising data sets in structured occurrence nets

Lookup NU author(s): Talal Alharbi, Professor Maciej Koutny

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Abstract

© 2016 CEUR-WS. All rights reserved. Visualization techniques have been used with increasing success to assist users in complex system analyses, providing meaningful insights. Structured Occurrence Nets (SONs) originate from occurrence nets (ONs), which are directed acyclic graphs showing causality and concurrency in system executions. Visualization of SONs in tools such as SonCraft is currently limited, as there is a lack of effective support to visualise complex and large data sets. In this paper, we address challenges resulting from the overlapping and out-of-order placement of ONs, and propose a novel solution to deal with this issue based on a step execution policy. Also, we discuss the development of the resulting algorithm, and SonCraft plug-in implementing it.


Publication metadata

Author(s): Alharbi T, Koutny M

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: PNSE 2018

Year of Conference: 2018

Pages: 121-132

Acceptance date: 24/06/2018

Publisher: CEUR-WS


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