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A Framework for Modular and Compositional Reasoning in Kôika

Authors: Kurze, Max;

A Framework for Modular and Compositional Reasoning in Kôika

Abstract

Ensuring the functional correctness of hardware circuits is essential for estab-lishing trust. Formal verification methods such as model checking and assertion-based verification, while widely used, are inherently limited in expressivity andscalability. These limitations prevent them from bridging the semantic gap be-tween low-level hardware implementations and high-level specifications, posingchallenges for comprehensive verification on complex circuits. This thesis addresses these challenges by developing a scalable proof infra-structure tailored for hardware verification. Specifically, it enhances the existingKôika hardware description language by introducing an improved compiler fron-tend that facilitates the processing of parametric actions. Furthermore, it proposesa new proof infrastructure that formalizes Hoare logic within Kôika’s semantics,enabling structured and modular reasoning about hardware behaviors. These contributions advance the modular verification of hardware circuits,overcoming the scalability limitations of conventional verification approaches.Future research directions include extending this framework to incorporateseparation logic, thereby addressing the frame problem, and evaluating its applic-ability to larger hardware descriptions, such as a RISC-V implementation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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