This research introduces a novel multimodal summarization approach that combines diverse data formats to improve comprehension in automotive software development processes.

• Integrates textual, visual (UML diagrams), and code-based information to generate comprehensive summaries
• Reduces cognitive load for engineers working with complex model-based engineering (MBE) systems
• Demonstrates practical application through automotive software development case studies
• Provides a foundation for more efficient knowledge transfer and documentation in engineering environments

This innovation addresses a critical gap in engineering knowledge management by streamlining the understanding of complex technical information across teams and reducing development cycle times.

Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study