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Mining BPMN Processes on GitHub for Tool Validation and Development

Heinze, Thomas and Stefanko, Viktor and Amme, Wolfram (2020) Mining BPMN Processes on GitHub for Tool Validation and Development. In: Enterprise, Business-Process and Information Systems Modeling (387), pp. 193-208. Springer. BPMDS’20 Working Conference, 8-9 Juni 2020, Grenoble, Frankreich. doi: 10.1007/978-3-030-49418-6_13. ISBN 978-3-030-49417-9.

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Official URL: https://doi.org/10.1007/978-3-030-49418-6_13


Today, business process designers can choose from an increasing number of analysis tools to check their process model with respect to defects or flaws, before, e.g., deploying the model in a process engine. Answering questions about the tools' effectiveness though is difficult, as their validation often lacks empirical evidence. In particular, for a modeling language like BPMN, where the process is the product, tools are validated by means of case studies or even artificial process examples. We here advocate instead an approach to systematically mine software repositories on GitHub.com for a large corpus of BPMN business process models and discuss how it can be used for tool validation and guiding tool development, using the example of the linting tool BPMNspector.

Item URL in elib:https://elib.dlr.de/135269/
Document Type:Conference or Workshop Item (Speech)
Title:Mining BPMN Processes on GitHub for Tool Validation and Development
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Heinze, Thomasthomas.heinze (at) dlr.deUNSPECIFIED
Stefanko, Viktorviktor.stefanko (at) uni-jena.deUNSPECIFIED
Amme, Wolframwolfram.amme (at) uni-jena.deUNSPECIFIED
Journal or Publication Title:Enterprise, Business-Process and Information Systems Modeling
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1007/978-3-030-49418-6_13
Page Range:pp. 193-208
Series Name:Lecture Notes in Business Information Processing
Keywords:business process, process analysis, repository mining, GitHub, BPMN
Event Title:BPMDS’20 Working Conference
Event Location:Grenoble, Frankreich
Event Type:international Conference
Event Dates:8-9 Juni 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > IT-Security
Institute of Data Science > Secure Digital Systems
Deposited By: Heinze, Thomas
Deposited On:18 Jun 2020 17:12
Last Modified:02 Jul 2020 14:39

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