Separation of concerns in analysis of artifact anomalies within workflow models

Feng-Jian Wang, Tenny Lu, Hwai Jung Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Workflows which realize parts of business goals in a particular order automate the business processes within enterprises. To guarantee the correctness of workflow execution, analyses on structural integrity of workflows are essential. However, comparing to the sequential activities, the activities executed in orders, the anomalies caused by parallel activities are far more complicated for analysis. Therefore, separation of concerns among sequential and parallel issues while doing analysis can reduce the complexity among analysis time and human recognition. In this paper, we propose an innovative methodology considering sequential and parallel issues separately within workflow models to detect anomalies in a given workflow. As a result, the cost for anomaly detection is lowered and the complexity for human recognition of the anomaly issues is reduced.

Original languageEnglish
Title of host publicationProceedings - 2016 3rd International Conference on Trustworthy Systems and Their Applications, TSA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781509035397
DOIs
StatePublished - 9 Dec 2016
Event3rd International Conference on Trustworthy Systems and Their Applications, TSA 2016 - Wuhan, Hubei, China
Duration: 18 Sep 201620 Sep 2016

Publication series

NameProceedings - 2016 3rd International Conference on Trustworthy Systems and Their Applications, TSA 2016

Conference

Conference3rd International Conference on Trustworthy Systems and Their Applications, TSA 2016
Country/TerritoryChina
CityWuhan, Hubei
Period18/09/1620/09/16

Keywords

  • Artifact Anomalies
  • Separation of Concerns
  • Workflow

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