AdProv: A Method for Provenance of Process Adaptations

• URL: http://arxiv.org/abs/2510.05936v1
• Date: Tue, 07 Oct 2025 13:47:36 GMT
• Title: AdProv: A Method for Provenance of Process Adaptations
• Authors: Ludwig Stage, Mirela Riveni, Raimundas Matulevičius, Dimka Karastoyanova,
• Abstract summary: Provenance in scientific is essential for understand- ing and reproducing processes.<n>Provenance of process adaptations, especially modifications during execu- tion, remains insufficiently addressed.<n>We propose the AdProv method for collecting, storing, retrieving, and visualizing prove- nance of runtime workflow adaptations.
• Score: 0.9974630621313313
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Provenance in scientific workflows is essential for understand- ing and reproducing processes, while in business processes, it can ensure compliance and correctness and facilitates process mining. However, the provenance of process adaptations, especially modifications during execu- tion, remains insufficiently addressed. A review of the literature reveals a lack of systematic approaches for capturing provenance information about adaptive workflows/processes. To fill this gap, we propose the AdProv method for collecting, storing, retrieving, and visualizing prove- nance of runtime workflow adaptations. In addition to the definition of the AdProv method in terms of steps and concepts like change events, we also present an architecture for a Provenance Holder service that is essential for implementing the method. To ensure semantic consistency and interoperability we define a mapping to the ontology PROV Ontol- ogy (PROV-O). Additionally, we extend the XES standard with elements for adaptation logging. Our main contributions are the AdProv method and a comprehensive framework and its tool support for managing adap- tive workflow provenance, facilitating advanced provenance tracking and analysis for different application domains.

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