9 research outputs found
Process and Data: Two Sides of the Same Coin
Companies increasingly adopt process management technology which offers promising perspectives for realizing flexible information systems. However, there still exist numerous process scenarios not adequately covered by contemporary information systems. One major reason for this deficiency is the insufficient understanding of the inherent relationships existing between business processes on one side and business data on the other. Consequently, these two perspectives are not well integrated in many existing process management systems. This paper emphasizes the need for both object- and process-awareness in future information systems, and illustrates it along several examples. Especially, the relation between these two fundamental perspectives will be discussed, and the role of business objects and data as drivers for both process modeling and process enactment be emphasized. In general, any business process support should consider object behavior as well as object interactions, and therefore be based on two levels of granularity. In addition, data-driven process execution and integrated user access to
processes and data are needed. Besides giving insights into these fundamental characteristics, an advanced framework supporting them in an integrated manner will be presented and its application to real-world process scenarios be shown. Overall, a holistic and generic framework integrating processes, data, and users will contribute to overcome many of the limitations of existing process management technology
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Reasoning on UML Data-Centric Business Process Models
Verifying the correctness of data-centric business process models is important to prevent errors from reaching the service that is offered to the customer. Although the semantic correctness of these models has been studied in detail, existing works deal with models defined in low-level languages (e.g. logic), which are complex and difficult to understand. This paper provides a way to reason semantically on data-centric business process models specified from a high-level and technology-independent perspective using ULM.Peer ReviewedPostprint (published version
Artifact-centric choreographies
Abstract. Classical notations for service collaborations focus either on the control flow of participating services (interacting models) or the order in which messages are exchanged (interaction models). None of these approaches emphasizes the evolution of data involved in the collaboration. In contrast, artifact-centric models pursue the converse strategy and begin with a specification of data objects. This paper extends existing concepts for artifact-centric business process models with the concepts of agents and locations. By making explicit who is accessing an artifact and where the artifact is located, we are able to automatically generate an interaction model that can serve as a contract between the agents and by construction makes sure that specified global goal states on the involved artifacts are reached.