Stepwise structural verification of cyclic workflow models with acyclic decomposition and reduction of loops

Research output: Journal Publications and ReviewsRGC 62 - Review of books or of software (or similar publications/items)peer-review

9 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)39-65
Journal / PublicationData and Knowledge Engineering
Volume95
Online published12 Dec 2014
Publication statusPublished - Jan 2015

Abstract

Existence of cycles (or loops) is one of the main sources that make the analysis of workflow models difficult. Several approaches of structural verification exist in the literature, but how to verify cyclic workflow models efficiently in a comprehensible form remains an open research question. Thus, a novel structural verification approach for cyclic workflow models by means of acyclic decomposition and reduction of loops is introduced in this paper with the following contributions. First, acyclic decomposition of natural loops, further enhanced by reduction of nested loops, enables existing verification techniques, normally dealing with acyclic models, to handle workflow models with natural loops. Second, instantiation of an irreducible loop into natural loops, altogether with reduction of concurrent loop entries, enables the proposed approach to handle workflow models with irreducible loops. Last, diagnostic information, provided by the proposed approach, helps stakeholders correct and improve their workflow models. Two examples are provided to show that the proposed approach is systematic and practical. In addition, a prototype of the proposed approach is developed. Its execution result shows that, while providing diagnostic information, the proposed approach can handle workflow models with arbitrary cycles effectively.

Research Area(s)

  • Acyclic decomposition, Loop reduction, Methodologies and tools, Structural verification, Workflow management

Citation Format(s)

Stepwise structural verification of cyclic workflow models with acyclic decomposition and reduction of loops. / Choi, Yongsun; Kongsuwan, Pauline; Joo, Cheol Min et al.
In: Data and Knowledge Engineering, Vol. 95, 01.2015, p. 39-65.

Research output: Journal Publications and ReviewsRGC 62 - Review of books or of software (or similar publications/items)peer-review