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Communication Dans Un Congrès Année : 2022

Process Mining to Discover the Global Process from its Fragments’ Executions

Résumé

Process analysis to improve performance and detect anomalies is important for process management. However, such an analysis requires a global process model that is sometimes hard to get, especially for complex processes involving various teams. This is also an obstacle for BAPE (Bottom-up Artifact-centric Process Environment), an artifact-centric process management environment that allows splitting a process into several fragments which are separately modeled and enacted by different actors. Thus, the knowledge about the whole process is distributed over the involved teams and an overview on the complete process is missing. This paper presents the integration of process mining into BAPE in order to construct the overall process model from the execution data of process fragments.

Dates et versions

hal-03855295 , version 1 (16-11-2022)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Minh Khoi Nguyen, Hanh Nhi Tran, Ileana Ober. Process Mining to Discover the Global Process from its Fragments’ Executions. 17th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2022), Apr 2022, Online Streaming, France. pp.363-370, ⟨10.5220/0011044800003176⟩. ⟨hal-03855295⟩
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