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Experiences with Using a Pre-Trained Programming Language Model for Reverse Engineering Sequence Diagrams

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2023

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Gesellschaft für Informatik e.V.

Zusammenfassung

Reverse engineering software models from program source code has been extensively studied for decades. Still, most model-driven reverse engineering approaches cover only single programming languages and cannot be transferred to others easily. Large pre-trained AI transformer models which were trained on several programming languages promise to translate source code from one language into another (e.g., Java to Python). Thus, we fine-tuned such a pre-trained model (CodeT5) to extract sequence diagrams from Java code and examined whether it can perform the same task for Python without additional training.

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Greiner, Sandra; Maier, Nicolas; Kehrer, Timo (2023): Experiences with Using a Pre-Trained Programming Language Model for Reverse Engineering Sequence Diagrams. Softwaretechnik-Trends Band 43, Heft 2. Gesellschaft für Informatik e.V.. ISSN: 0720-8928

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