From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs
arxiv(2024)
摘要
In software engineering processes, systems are first specified using a
modeling language such as UML. These initial designs are often collaboratively
created, many times in meetings where different domain experts use whiteboards,
paper or other types of quick supports to create drawings and blueprints that
then will need to be formalized. These proper, machine-readable, models are key
to ensure models can be part of automated processes (e.g. input of a low-code
generation pipeline, a model-based testing system, ...). But going form
hand-drawn diagrams to actual models is a time-consuming process that sometimes
ends up with such drawings just added as informal images to the software
documentation, reducing their value a lot. To avoid this tedious task, we
explore the usage of Large Language Models (LLM) to generate the formal
representation of (UML) models from a given drawing. More specifically, we have
evaluated the capabilities of different LLMs to convert images of UML class
diagrams into the actual models represented in the images. While the results
are good enough to use such an approach as part of a model-driven engineering
pipeline we also highlight some of their current limitations and the need to
keep the human in the loop to overcome those limitations.
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