Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems
Enterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP syst...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/12/5476 |
| _version_ | 1827689857899560960 |
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| author | Ana Pajić Simović Slađan Babarogić Ognjen Pantelić Stefan Krstović |
| author_facet | Ana Pajić Simović Slađan Babarogić Ognjen Pantelić Stefan Krstović |
| author_sort | Ana Pajić Simović |
| collection | DOAJ |
| description | Enterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP systems, such event logs are not available as the concept of business activity is missing. Extracting event data from an ERP database is not a trivial task and requires in-depth knowledge of the business processes and underlying data structure. Therefore, domain experts require proper techniques and tools for extracting event data from ERP databases. In this paper, we present the full specification of a domain-specific modeling language for facilitating the extraction of appropriate event data from transactional databases by domain experts. The modeling language has been developed to support complex ambiguous cases when using ERP systems. We demonstrate its applicability using a case study with real data and show that the language includes constructs that enable a domain expert to easily model data of interest in the log extraction step. The language provides sufficient information to extract and transform data from transactional ERP databases to the XES format. |
| first_indexed | 2024-03-10T10:27:24Z |
| format | Article |
| id | doaj.art-78b81e2413f04d5b835949d835d0571a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:27:24Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-78b81e2413f04d5b835949d835d0571a2023-11-21T23:55:01ZengMDPI AGApplied Sciences2076-34172021-06-011112547610.3390/app11125476Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP SystemsAna Pajić Simović0Slađan Babarogić1Ognjen Pantelić2Stefan Krstović3Faculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, SerbiaEnterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP systems, such event logs are not available as the concept of business activity is missing. Extracting event data from an ERP database is not a trivial task and requires in-depth knowledge of the business processes and underlying data structure. Therefore, domain experts require proper techniques and tools for extracting event data from ERP databases. In this paper, we present the full specification of a domain-specific modeling language for facilitating the extraction of appropriate event data from transactional databases by domain experts. The modeling language has been developed to support complex ambiguous cases when using ERP systems. We demonstrate its applicability using a case study with real data and show that the language includes constructs that enable a domain expert to easily model data of interest in the log extraction step. The language provides sufficient information to extract and transform data from transactional ERP databases to the XES format.https://www.mdpi.com/2076-3417/11/12/5476event logtransaction logERP systemartifact-centric approachbusiness document |
| spellingShingle | Ana Pajić Simović Slađan Babarogić Ognjen Pantelić Stefan Krstović Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems Applied Sciences event log transaction log ERP system artifact-centric approach business document |
| title | Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems |
| title_full | Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems |
| title_fullStr | Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems |
| title_full_unstemmed | Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems |
| title_short | Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems |
| title_sort | towards a domain specific modeling language for extracting event logs from erp systems |
| topic | event log transaction log ERP system artifact-centric approach business document |
| url | https://www.mdpi.com/2076-3417/11/12/5476 |
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