{"ID":2859355,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.05936","arxiv_id":"2510.05936","title":"AdProv: A Method for Provenance of Process Adaptations","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.","short_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 address...","url_abs":"https://arxiv.org/abs/2510.05936","url_pdf":"https://arxiv.org/pdf/2510.05936v1","authors":"[\"Ludwig Stage\",\"Mirela Riveni\",\"Raimundas Matulevičius\",\"Dimka Karastoyanova\"]","published":"2025-10-07T13:47:36Z","proceeding":"cs.CR","tasks":"[\"cs.CR\",\"cs.SE\"]","methods":"[]","has_code":false}