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Mining BPMN Processes on GitHub for Tool Validation and Development
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 o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254564/ http://dx.doi.org/10.1007/978-3-030-49418-6_13 |
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author | Heinze, Thomas S. Stefanko, Viktor Amme, Wolfram |
author_facet | Heinze, Thomas S. Stefanko, Viktor Amme, Wolfram |
author_sort | Heinze, Thomas S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7254564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72545642020-05-28 Mining BPMN Processes on GitHub for Tool Validation and Development Heinze, Thomas S. Stefanko, Viktor Amme, Wolfram Enterprise, Business-Process and Information Systems Modeling Article 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. 2020-05-05 /pmc/articles/PMC7254564/ http://dx.doi.org/10.1007/978-3-030-49418-6_13 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Heinze, Thomas S. Stefanko, Viktor Amme, Wolfram Mining BPMN Processes on GitHub for Tool Validation and Development |
title | Mining BPMN Processes on GitHub for Tool Validation and Development |
title_full | Mining BPMN Processes on GitHub for Tool Validation and Development |
title_fullStr | Mining BPMN Processes on GitHub for Tool Validation and Development |
title_full_unstemmed | Mining BPMN Processes on GitHub for Tool Validation and Development |
title_short | Mining BPMN Processes on GitHub for Tool Validation and Development |
title_sort | mining bpmn processes on github for tool validation and development |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254564/ http://dx.doi.org/10.1007/978-3-030-49418-6_13 |
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