Using Grammar Masking to Ensure Syntactic Validity in LLM-based Modeling Tasks
ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS), pp. 115–122
Abstract
Low-code development platforms (LCDPs) are becoming increasingly important in industry, which confronts us in academic teaching with the challenge of educating students in the basic principles, critical engagement, and evaluation of LCDPs. This leads us to the question, how to teach the usage of different LCDPs during an university course. The short time frame of university-level courses makes it challenging to teach more than only one LCDP. In our teaching approach, students use two different LCDPs and create a web-application with both of them. Firstly, we require the students to define a target application with common modeling languages, next they use the first LCDP, at about half the time they switch to the second LCDP and present their findings of the differences in methodology and development processes at the end. We discuss this approach, show survey results from the participants, and explain lessons learned. This concept allows students critical engagement with LCDPs and model-driven software engineering. Supervisors get an insight into the learnability of each LCDP and how novices adapt to different domain-specific languages and their notations.
Authors 3
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Affiliation as printed
Chair of Software Engineering, RWTH Aachen University, Aachen, NRW, Germany
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Affiliation as printed
Chair of Software Engineering, RWTH Aachen University, Aachen, NRW, Germany
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Affiliation as printed
Chair of Software Engineering, RWTH Aachen University, Aachen, NRW, Germany
Cited by 13 stored of 15
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Cited by patents worldwide 1 (Lens.org)
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TECHNIQUES FOR ENFORCING STRUCTURED OUTPUT OF A GENERATIVE RESPONSE ENGINEWO2026101634A1 2026-05-15 Pending
References 20
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