On enabling integrated process compliance with semantic constraints in process management systems

  • Authors:

  • Linh Thao Ly;Stefanie Rinderle-Ma;Kevin Göser;Peter Dadam

  • Affiliations:

  • Institute of Databases and Information Systems, Ulm University, Ulm, Germany;Institute of Databases and Information Systems, Ulm University, Ulm, Germany;AristaFlow GmbH, Ulm, Germany;Institute of Databases and Information Systems, Ulm University, Ulm, Germany

  • Venue:
  • Information Systems Frontiers
  • Year:
  • 2012

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Abstract

Key to broad use of process management systems (PrMS) in practice is their ability to foster and ease the implementation, execution, monitoring, and adaptation of business processes while still being able to ensure robust and error-free process enactment. To meet these demands a variety of mechanisms has been developed to prevent errors at the structural level (e.g., deadlocks). In many application domains, however, processes often have to comply with business level rules and policies (i.e., semantic constraints) as well. Hence, to ensure error-free executions at the semantic level, PrMS need certain control mechanisms for validating and ensuring the compliance with semantic constraints. In this paper, we discuss fundamental requirements for a comprehensive support of semantic constraints in PrMS. Moreover, we provide a survey on existing approaches and discuss to what extent they are able to meet the requirements and which challenges still have to be tackled. In order to tackle the particular challenge of providing integrated compliance support over the process lifecycle, we introduce the SeaFlows framework. The framework introduces a behavioural level view on processes which serves a conceptual process representation for constraint specification approaches. Further, it provides general compliance criteria for static compliance validation but also for dealing with process changes. Altogether, the SeaFlows framework can serve as formal basis for realizing integrated support of semantic constraints in PrMS.