Method of using artificial intelligence for creating and reverse engineering graphical software models

Authors

  • Volodymyr Sokolov Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv, Ukraine https://orcid.org/0000-0002-5779-7167

DOI:

https://doi.org/10.20535/2411-1031.2025.13.2.344711

Keywords:

artificial intelligence, graphical software models, DSL

Abstract

The article presents a method of using generative artificial intelligence systems (AIS) based on large language models to build graphical software models from prompts and restore them from source code. The developed method is considered the basis for integrating AIS and graphical systems (GS), which are traditionally used to build graphical software models. In the process of research, such methods and notations of graphical modeling as BPMN, IDEF, ERD, UML and C4 were considered. In the process of analyzing the formats of representation of graphical models by different GS, it was determined that the most convenient for the use by AIS are language descriptions of models, unlike XML-like and binary formats. The idea of the method is to use the syntax of DSL (Domain Specific Language) of popular GS as intermediate languages for interaction between AIS and GS, which provides the possibility of both intelligent processing of the language description of the graphical model by AIS and its high-quality display by GS. The essence of the method is to represent each graphic model scheme by a three-level architecture and apply a composition of inter-level transformation functions. The three-level architecture of the graphic scheme representation includes an input prompt (model semantics), a DSL description of the scheme for the selected GS (syntactic representation) and a graphic image in the form of a GS export file (visual representation). The inter-level transformation functions include: a prompt translation function in DSL, which is performed by the AIS; a DSL rendering function by the GS and exporting the graphic file; a prompt refinement function based on a human assessment of the adequacy of the resulting visual representation (feedback). This method allows to build a discrete dynamic system for graphical software modeling with iterative refinement. The presented method of using AI for creating and reverse-engineering graphic software models allows to increase the overall efficiency of implementing software life cycle (LC) processes by combining intellectual and representative functions in the process of creating and analyzing software.

Author Biography

Volodymyr Sokolov, Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv

candidate of technical sciences, associate professor, associate professor at the computer science and artificial intelligence technologies in the field of cybersecurity academic department

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Published

2025-11-27

How to Cite

Sokolov, V. (2025). Method of using artificial intelligence for creating and reverse engineering graphical software models. Collection "Information Technology and Security", 13(2), 253–263. https://doi.org/10.20535/2411-1031.2025.13.2.344711

Issue

Vol. 13 No. 2 (2025)

Section

ARTIFICIAL INTELLIGENCE IN THE CYBERSECURITY FIELD

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