Abstract
In this paper, we present and illustrate an approach to compositional reasoning for hardware/software co-verification of embedded systems. The major challenges in compositional reasoning for co-verification include: (1) the hardware/software semantic gaps, (2) lack of common property specification languages for hardware and software, and (3) lack of compositional reasoning rules that are applicable across the hardware/software boundaries. Our approach addresses these challenges by (1) filling the hardware/software semantic gaps via translation of hardware and software into a common formal language, (2) defining a unified property specification language for hardware, software, and entire systems, and (3) enabling application of existing compositional reasoning rules across the hardware/software boundaries based on translation, developing a new rule for compositional reasoning with components that share sub-components, and extending the applicability of these rules via dependency refinement. Our approach has been applied to co-verification of networked sensors. The case studies have shown that our approach is very effective in enabling application of compositional reasoning to co-verification of non-trivial embedded systems.
This research was supported by Semiconductor Research Corporation, Contract 1356.001.
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Xie, F., Yang, G., Song, X. (2006). Compositional Reasoning for Hardware/Software Co-verification. In: Graf, S., Zhang, W. (eds) Automated Technology for Verification and Analysis. ATVA 2006. Lecture Notes in Computer Science, vol 4218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11901914_14
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DOI: https://doi.org/10.1007/11901914_14
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