Abstract
Model execution allows us to prototype and analyse software engineering models by stepping through their possible behaviours, using techniques like animation and simulation. On the other hand, deductive verification allows us to construct formal proofs demonstrating satisfaction of certain critical properties in support of high-assurance software engineering. To ensure coherent results between execution and proof, we need unifying semantics and automation. In this article, we mechanise Interaction Trees (ITrees) in Isabelle/HOL to produce an execution and verification framework. ITrees are coinductive structures that allow us to encode infinite labelled transition systems, yet they are inherently executable. We use ITrees to create verification tools for stateful imperative programs, concurrent programs with message passing in the form of the CSP and Circus languages, and abstract system models in the style of the Z and B methods. We demonstrate how ITrees can account for diverse semantic presentations, such as structural operational semantics, a relational program model, and CSP's failures-divergences trace model. Finally, we demonstrate how ITrees can be executed using the Isabelle code generator to support the animation of models.
Author supplied keywords
- Animation and Simulation
- Automated Program Verification
- CSP (Communicating Sequential Processes)
- Circus Language
- Code Generation
- Coinductive Structures
- Deductive Verification
- Formal Methods
- High-Assurance Software
- Imperative Programming Verification
- Interaction Trees (ITrees)
- Isabelle/HOL
- Model Execution
- Proof Automation
- Software Engineering Models
- Structural Operational Semantics
- Theorem Proving
- UTP (Unifying Theories of Programming)
- Z and B Methods
Cite
CITATION STYLE
Foster, S., Hur, C. K., & Woodcock, J. (2025). Unifying Model Execution and Deductive Verification with Interaction Trees in Isabelle/HOL. ACM Transactions on Software Engineering and Methodology, 34(4), 1–40. https://doi.org/10.1145/3702981
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