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@inproceedings{DBLP:conf/dasfaa/HwangHT99,
author = {San-Yih Hwang and
Sun-Fa Ho and
Jian Tang},
editor = {Arbee L. P. Chen and
Frederick H. Lochovsky},
title = {Mining Exception Instances to Facilitate Workflow Exception Handling},
booktitle = {Database Systems for Advanced Applications, Proceedings of the
Sixth International Conference on Database Systems for Advanced
Applications (DASFAA), April 19-21, Hsinchu, Taiwan},
publisher = {IEEE Computer Society},
year = {1999},
isbn = {0-7695-0084-6},
pages = {45-52},
ee = {db/conf/dasfaa/HwangHT99.html},
crossref = {DBLP:conf/dasfaa/99},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
The importance of exception handling within the context of workflow management has been widely recognized. While some exceptions are expected at design time and thus can be incorporated into the workflow design via some flexible mechanism, others are totally unexpected. Previous work in handling unexpected workflow exceptions focuses on the run-time support to, for example, allow the rollback of some already completed activities, validate the correctness of dynamic workflow change, and deploy a solution to handle exceptions. Authorized persons are responsible for deriving solutions to handle exceptions.
In this paper we propose a novel approach to facilitating users in proposing solutions for resolving a given exception. Specifically, our approach scans through the previous records in handling exceptions, looking for those that are close to the current exception. The ways in which those exceptions were handled serve as useful information in determining how to handle the current one. Several algorithms are proposed and evaluated through both theoretical analysis and synthetic data set.
Copyright © 1999 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.