Run-based exception prediction for workflows
Yain-Whar Si1; Kin-Kuan Hoi1; Robert P. Biuk-Aghai1; Simon Fong1; Defu Zhang2
2016-03-01
Source PublicationJournal of Systems and Software
ABS Journal Level2
ISSN0164-1212
Volume113Pages:59-75
Abstract

Events such as iteration of activities or lack of available resources can cause temporal exceptions in business processes. Exception prediction can improve the quality of workflow execution since preventive actions can be taken to reduce the occurrence of exceptions. Thus, it is crucial to provide an accurate and efficient temporal exception prediction capability for workflow management systems. In this paper, we propose a run-based exception prediction algorithm to predict temporal exceptions in workflows. The proposed algorithm is divided into two phases, design-time and run time. At design-time, all possible runs are generated from a workflow and their estimated execution time and mapping probability are calculated. At run time, temporal exceptions are predicted by analyzing the runs. Simulation experiments are performed to evaluate the proposed approach using five workflow models having different characteristics. Simulation experiments show that our approach is efficient and produces good results in prediction accuracy.

KeywordRun Temporal Exception Prediction Workflow
DOIhttps://doi.org/10.1016/j.jss.2015.11.024
URLView the original
Indexed BySCIE
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000369456600004
PublisherELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA
Fulltext Access
Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYain-Whar Si; Kin-Kuan Hoi; Robert P. Biuk-Aghai; Simon Fong; Defu Zhang
Affiliation1.Department of Computer and Information Science, University of Macau, Macao
2.Department of Computer Science, Xiamen University, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yain-Whar Si,Kin-Kuan Hoi,Robert P. Biuk-Aghai,et al. Run-based exception prediction for workflows[J]. Journal of Systems and Software,2016,113:59-75.
APA Yain-Whar Si,Kin-Kuan Hoi,Robert P. Biuk-Aghai,Simon Fong,&Defu Zhang.(2016).Run-based exception prediction for workflows.Journal of Systems and Software,113,59-75.
MLA Yain-Whar Si,et al."Run-based exception prediction for workflows".Journal of Systems and Software 113(2016):59-75.
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