Record link: 
http://hdl.handle.net/20.500.12708/193246
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Title: 
On Developing and Operating GLSP-based Web Modeling Tools: Lessons Learned from BIGUML
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Citation: 
Metin, H., & Bork, D. (2023). On Developing and Operating GLSP-based Web Modeling Tools: Lessons Learned from BIGUML. In 2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 129–139). IEEE. https://doi.org/10.1109/MODELS58315.2023.00031
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Publisher DOI: 
10.1109/MODELS58315.2023.00031
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Metin, Haydar 
Bork, Dominik 
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Organisational Unit: 
E194-03 - Forschungsbereich Business Informatics 
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Published in: 
2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS) 
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ISBN: 
979-8-3503-2480-8
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Date (published): 
2023
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Event name: 
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) 
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Event date: 
1-Oct-2023 - 6-Oct-2023
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Event place: 
Västeras, Sweden
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Number of Pages: 
11
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Publisher: 
IEEE, Piscataway
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Peer reviewed: 
Yes
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Keywords: 
Modeling tool; Knowledge engineering; Unified Modeling Language; Computer architecture; Model driven engineering; web modeling
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Abstract: 
The development of web-based modeling tools still poses significant challenges for developers. The Graphical Language Server Platform (GLSP) reduced some of these challenges by providing the necessary frameworks to efficiently create web modeling tools. However, more knowledge and experience are required regarding developing GLSP-based web modeling tools. This paper discusses the challenges and lessons learned after working with GLSP and realizing several GLSP-based modeling tools. More concretely, experiences, concepts, steps to be followed to develop and operate a GLSP-based web modeling tool, and the advantages and disadvantages of working with GLSP are discussed. As a proof of concept, we will report on the realization of a GLSP-based UML editor called BIGUML. Through BIGUML, we show that our procedure and the reference architecture we developed resulted in a scalable and flexible GLSP-based web modeling tool. The lessons learned, the procedural approach, the reference architecture, and the critical reflection on the challenges and opportunities of using GLSP provide valuable insights to the community and shall ease the decision of whether or not to use GLSP for future tool development projects.
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Project title: 
Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen: I-2023-1 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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