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Software development processes in ocean system modeling

Software development processes in ocean system modeling
Software development processes in ocean system modeling

Scientific modeling provides mathematical abstractions of real-world systems and builds software as implementations of these mathematical abstractions. Ocean science is a multidisciplinary discipline developing scientific models and simulations as ocean system models that are an essential research asset. In software engineering and information systems research, modeling is also an essential activity. In particular, business process modeling for business process management and systems engineering is the activity of representing processes of an enterprise, so that the current process may be analyzed, improved and automated. In this paper, we employ process modeling for analyzing scientific software development in ocean science to advance the state in engineering of ocean system models and to better understand how ocean system models are developed and maintained in ocean science. We interviewed domain experts in semi-structured interviews, analyzed the results via thematic analysis, and modeled the results via the Business Process Modeling Notation (BPMN). The processes modeled as a result describe an aspired state of software development in the domain, which are often not (yet) implemented. This enables existing processes in simulation-based system engineering to be improved with the help of these process models.

Process modeling, Scientific modeling, Software development processes, Thematic analysis
1793-9623
Jung, Reiner
0e6d3b51-6be8-46e5-a283-7a1dee17b2fc
Gundlach, Sven
38bed682-d951-43bb-898a-67bfa327625b
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd
Jung, Reiner
0e6d3b51-6be8-46e5-a283-7a1dee17b2fc
Gundlach, Sven
38bed682-d951-43bb-898a-67bfa327625b
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd

Jung, Reiner, Gundlach, Sven and Hasselbring, Wilhelm (2022) Software development processes in ocean system modeling. International Journal of Modeling, Simulation, and Scientific Computing, 13 (2), [2230002]. (doi:10.1142/S1793962322300023).

Record type: Article

Abstract

Scientific modeling provides mathematical abstractions of real-world systems and builds software as implementations of these mathematical abstractions. Ocean science is a multidisciplinary discipline developing scientific models and simulations as ocean system models that are an essential research asset. In software engineering and information systems research, modeling is also an essential activity. In particular, business process modeling for business process management and systems engineering is the activity of representing processes of an enterprise, so that the current process may be analyzed, improved and automated. In this paper, we employ process modeling for analyzing scientific software development in ocean science to advance the state in engineering of ocean system models and to better understand how ocean system models are developed and maintained in ocean science. We interviewed domain experts in semi-structured interviews, analyzed the results via thematic analysis, and modeled the results via the Business Process Modeling Notation (BPMN). The processes modeled as a result describe an aspired state of software development in the domain, which are often not (yet) implemented. This enables existing processes in simulation-based system engineering to be improved with the help of these process models.

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More information

Accepted/In Press date: 28 February 2022
Published date: 5 April 2022
Additional Information: Publisher Copyright: © 2022 World Scientific Publishing Company.
Keywords: Process modeling, Scientific modeling, Software development processes, Thematic analysis

Identifiers

Local EPrints ID: 488961
URI: http://eprints.soton.ac.uk/id/eprint/488961
ISSN: 1793-9623
PURE UUID: eb8789be-b785-4692-9527-97b3d1cf6e1f
ORCID for Wilhelm Hasselbring: ORCID iD orcid.org/0000-0001-6625-4335

Catalogue record

Date deposited: 09 Apr 2024 17:36
Last modified: 10 Apr 2024 02:15

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Contributors

Author: Reiner Jung
Author: Sven Gundlach
Author: Wilhelm Hasselbring ORCID iD

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