AI-Assisted Modeling: DSL-Driven AI Interactions

AI-assisted programming greatly increases software development performance. We enhance this potential by integrating transparency through domain-specific modeling techniques and providing instantaneous, graphical visualizations that accurately represent the semantics of AI-generated code. This approach facilitates visual inspection and formal verification, such as model checking.

Authors

Edward A. Lee (ORCID: https://orcid.org/0000-0002-5663-0584)
Steven Smyth (ORCID: https://orcid.org/0000-0003-2470-0880)
Daniel Busch (ORCID: https://orcid.org/0009-0000-1832-9857)
Bernhard Steffen (ORCID: https://orcid.org/0000-0001-9619-1558)
Moez Ben Haj Hmida

Institutions

TU Dortmund University (DE)
Tunis El Manar University (TN)
University of California, Berkeley (US)

Publication Details

Published: 2026-04-12
DOI: https://doi.org/10.1145/3786179.3788326
Primary Topic: Model-Driven Software Engineering Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

AI-Assisted Modeling: DSL-Driven AI Interactions

Edward A. Lee, Steven Smyth, Daniel Busch, Bernhard Steffen et al.

Apr 12, 2026

Model-Driven Software Engineering Techniques

article

AI-Assisted Modeling: DSL-Driven AI Interactions

Edward A. Lee, Steven Smyth, Daniel Busch, Bernhard Steffen, Moez Ben Haj Hmida

April 12, 2026article en

Abstract

AI-assisted programming greatly increases software development performance. We enhance this potential by integrating transparency through domain-specific modeling techniques and providing instantaneous, graphical visualizations that accurately represent the semantics of AI-generated code. This approach facilitates visual inspection and formal verification, such as model checking.

TU Dortmund University (DE), Tunis El Manar University (TN), University of California, Berkeley (US)

Openalex Percentile: Top 100%

Model-Driven Software Engineering Techniques

DOI Open Access PDF OpenAlex

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AI-Assisted Modeling: DSL-Driven AI Interactions — Edward A. Lee, Steven Smyth, et al. · (2026) | TGRS Research Map | TGRS