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DOI: 10.14569/IJACSA.2022.0130733
PDF

Alignment of Software System Level with Business Process Level: Resolving Syntactic and Semantic Conflicts

Author 1: Samia Benabdellah Chaouni
Author 2: Maryam Habba
Author 3: Mounia Fredj

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.

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Abstract: Information systems help organizations manage their entities with innovative technologies. These entities are often very different in nature. In this paper, we consider a business process level based on a set of Business Process Model and Notation (BPMN) models and a software system level based on a Unified Modeling Language (UML) class diagram. The differences between these entities make them difficult to align. In addition, an organization’s BPMN models may be designed by different teams, which can cause syntactic and semantic heterogeneities. We present the first step of our proposed approach for aligning a software system level with a business process level without conflict (redundancy and lost information). Syntactic and semantic rules based on ontologies and other resources for comparing BPMN models are described, as well as a process for transforming BPMN models into UML model.

Keywords: Information system alignment; business process; software system; Business Process Model and Notation (BPMN); Unified Modelling Language (UML); class diagram; ontology; semantic aspects

Samia Benabdellah Chaouni, Maryam Habba and Mounia Fredj, “Alignment of Software System Level with Business Process Level: Resolving Syntactic and Semantic Conflicts” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130733

@article{Chaouni2022,
title = {Alignment of Software System Level with Business Process Level: Resolving Syntactic and Semantic Conflicts},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130733},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130733},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Samia Benabdellah Chaouni and Maryam Habba and Mounia Fredj}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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