Variability Dependency Analysis for Generating Business Process Models based on Variability Decisions 


Vol. 16,  No. 5, pp. 791-800, Oct.  2009
10.3745/KIPSTD.2009.16.5.791


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  Abstract

Recently, the business process family model (BPFM), which is new approachfor assuring businessflexibility and enhancing reuse in application development with service oriented architecture (SOA), was proposed. The BPFM is a model which can explicitly represent the variabilities in business process family by using the variability analysis method of software product line. Many business process models (BPM) can be generated automatically through decision and pruning processes from BPFM. At this time, the variabilities tend to have inclusive or exclusive dependencies between them. This affects the decision and pruning processes. So far, little attention has been given to the binding information of variability dependency in the BPFM. In this paper, we propose an approach for analyzing various types of dependency relationships between variabilities and representing the variability and their relationships as a dependency analysis model. Additionally, a method which can trace the variabilities affected by a decision on the dependency analysis model is presented. The case study shows that the proposed approach helps to reduce the number of variability decision and to solve a disagreement of functions in BPM produced by incorrectly deciding the variability.

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[IEEE Style]

M. K. Moon, "Variability Dependency Analysis for Generating Business Process Models based on Variability Decisions," The KIPS Transactions:PartD, vol. 16, no. 5, pp. 791-800, 2009. DOI: 10.3745/KIPSTD.2009.16.5.791.

[ACM Style]

Mi Kyeong Moon. 2009. Variability Dependency Analysis for Generating Business Process Models based on Variability Decisions. The KIPS Transactions:PartD, 16, 5, (2009), 791-800. DOI: 10.3745/KIPSTD.2009.16.5.791.

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