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Extract, model, refine: improved modelling of program verification tools through data enrichment
Sophie Lathouwers1, Yujie Liu1, Vadim Zaytsev1
1Formal Methods and Tools, University of Twente, Enschede, The Netherlands.
Software and Systems Modeling
|July 29, 2025
Summary
This study introduces a megamodel for classifying over 400 program verification tools. The curated dataset aids software engineers in selecting and comparing tools for system correctness.
Area of Science:
- Software Engineering
- Formal Methods
- Computer Science
Background:
- Models are crucial in software engineering for reasoning about system correctness.
- Program verification techniques offer varying levels of correctness guarantees.
- A structured approach is needed to navigate the diverse landscape of verification tools.
Purpose of the Study:
- To develop a concise megamodel for categorizing program verification tools.
- To present a comprehensive dataset of 400+ program verification tools.
- To facilitate tool selection, comparison, and trend identification for software engineers.
Main Methods:
- Investigated the domain of program verification tools.
- Developed a megamodel for tool classification.
- Compiled a dataset with tool categories and practical information (e.g., input/output, repository links).
- Automated data extraction and utilized APIs for data upkeep.
Main Results:
- A megamodel distinguishing various program verification tools.
- A publicly available dataset of over 400 tools with detailed categorizations.
- Identification of trends within the program verification tool landscape.
- Automated data maintenance enhancing dataset scalability.
Conclusions:
- The megamodel and dataset provide a valuable resource for software engineers.
- The categorization aids in finding, investigating, and comparing suitable verification tools.
- The dataset supports easier entry into program verification and informed tool selection based on specific requirements.
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