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AI-based and Model-driven Methods to Guide Citizens through Processes in the Public Sector
Netz, Lukas
, Michael, Judith
and Rumpe, Bernhard
(2025)
AI-based and Model-driven Methods to Guide Citizens through Processes in the Public Sector.
In: Joint Proceedings of the STAF 2025 Workshops: OCL, OOPSLE, LLM4SE, ICMM, AgileMDE, AI4DPS, and TTC co-located with the International Conference on Software Technologies: Applications and Foundations (STAF 2025), 10.-13.6.2025, Koblenz, Germany.
Date of publication of this fulltext: 22 Dec 2025 06:53
Conference or workshop item
DOI to cite this document: 10.5283/epub.78370
Abstract
Digitalization of processes in the public sector is a challenging endeavor for citizens: too long or ambiguous forms and unfamiliar terms make it challenging to participate in these processes. What is needed are methods to guide citizens with IT systems through processes in the public sector in a user-centric way. Within this paper, we investigate how to develop web systems that provide ...
Digitalization of processes in the public sector is a challenging endeavor for citizens: too long or ambiguous forms and unfamiliar terms make it challenging to participate in these processes. What is needed are methods to guide citizens with IT systems through processes in the public sector in a user-centric way. Within this paper, we investigate how to develop web systems that provide citizen-centered guidance in several dimensions: explanatory content, guided navigation, contextual process support, and form completion. Our solution integrates generative AI and model-driven engineering methods to develop web applications for the public sector. This has not only advantages for citizens, but we can also enhance the system maintenance of such systems with these methods. We present the main processes of how to realize such integrated approaches, provide some examples from practice, and discuss open challenges for the approaches.
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Details
| Item type | Conference or workshop item (Paper) |
| Publisher: | CEUR-WS |
|---|---|
| Open Access Type: | CC-License |
| Date | 10 December 2025 |
| Institutions | Informatics and Data Science > General computer science > Chair of Programming and Software Engineering (Prof. Dr. Judith Michael) |
| Keywords | Public Processes, Model-Driven Engineering, Artificial Intelligence, Large Language Model, AI4SE, Human-centric systems |
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science |
| Status | Published |
| Refereed | Yes, this version has been refereed |
| Created at the University of Regensburg | Partially |
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-783700 |
| Item ID | 78370 |
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