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Article
A rule-based modeling for the description of flexible and self-healing business processes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Mohamed Boukhebouze, Institut National des Sciences Appliquées de Lyon
  • Youssef Amghar, Institut National des Sciences Appliquées de Lyon
  • Aïcha Nabila Benharkat, Institut National des Sciences Appliquées de Lyon
  • Zakaria Maamar, Zayed University
Document Type
Conference Proceeding
Publication Date
1-1-2009
Abstract

In this paper we discuss the importance of ensuring that business processes are label robust and agile at the same time robust and agile. To this end, we consider reviewing the way business processes are managed. For instance we consider offering a flexible way to model processes so that changes in regulations are handled through some self-healing mechanisms. These changes may raise exceptions at run-time if not properly reflected on these processes. To this end we propose a new rule based model that adopts the ECA rules and is built upon formal tools. The business logic of a process can be summarized with a set of rules that implement an organization's policies. Each business rule is formalized using our ECAPE formalism (Event-Condition-Action-Post condition- post Event). This formalism allows translating a process into a graph of rules that is analyzed in terms of reliably and flexibility. © 2009 Springer.

ISBN
3642039723
Publisher
Springer Verlag
Disciplines
Keywords
  • Business processes modeling,
  • Business rules,
  • Change impact and self-healing of business process,
  • Flexible modeling
Scopus ID
70350576997
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-642-03973-7_3
Citation Information
Mohamed Boukhebouze, Youssef Amghar, Aïcha Nabila Benharkat and Zakaria Maamar. "A rule-based modeling for the description of flexible and self-healing business processes" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5739 LNCS (2009) p. 15 - 27 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/zakaria-maamar/99/