🤖 AI Summary
Verifying low-level system software (e.g., OS kernels, device drivers) requires unified modeling of hardware-awareness, concurrency, and memory safety—properties that are notoriously difficult to capture coherently within a single formal framework.
Method: This paper proposes a resource-contextual modal logic verification paradigm. It systematically identifies and formalizes modal verification design patterns, embedding resource constraints—such as memory regions, lock states, and device register configurations—directly into the semantics of modal operators. This enables structured, compositional specification and verification of system-level behaviors.
Contribution/Results: We establish the first reusable modal modeling paradigm tailored to systems software, bridging the gap between modal logic theory and systems engineering practice. Evaluated on multiple real-world case studies, our approach demonstrates strong effectiveness and scalability, significantly enhancing both specification expressivity and verification automation.
📝 Abstract
Although they differ in the functionality they offer, low-level systems exhibit certain patterns of design and utilization of computing resources. In this paper, we argue the position that modalities, in the sense of modal logic, should be a go-to approach when specifying and verifying low-level systems code. We explain how the concept of a resource context helps guide the design of new modalities for verification of systems code, and we justify our perspective by discussing prior systems that have used modalities for systems verification successfully, arguing that they fit into the verification design pattern we articulate, and explaining how this approach might apply to other systems verification challenges.