The BPM community can certainly benefit from the adoption of open science principles. The availability of business process models and logs can make BPM research results more controllable, replicable, and comparable. Unfortunately, finding suitable collections of models and logs is pretty difficult to validate research proposals in the BPM field. To address this issue, we have developed a web-based repository, named RePROSitory, for sharing business process models and logs making them accessible to the community. We have started to systematically populate the repository with a collection of business process models, selected from the literature, and business process logs from an Italian company. The experience of models and logs retrieval from RePROSitory is enhanced by using metrics and metadata that allow researchers to select from Re- PROSitory a set of models or logs that they judge more suitable for the experiments they want to run.

RePROSitory: A Repository platform for sharing business PROcess models and logS

Corradini F.;Fornari F.;Polini A.;Re B.;Tiezzi F.
2021-01-01

Abstract

The BPM community can certainly benefit from the adoption of open science principles. The availability of business process models and logs can make BPM research results more controllable, replicable, and comparable. Unfortunately, finding suitable collections of models and logs is pretty difficult to validate research proposals in the BPM field. To address this issue, we have developed a web-based repository, named RePROSitory, for sharing business process models and logs making them accessible to the community. We have started to systematically populate the repository with a collection of business process models, selected from the literature, and business process logs from an Italian company. The experience of models and logs retrieval from RePROSitory is enhanced by using metrics and metadata that allow researchers to select from Re- PROSitory a set of models or logs that they judge more suitable for the experiments they want to run.
2021
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/458954
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