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Compositional Reasoning for Hardware/Software Co-verification

  • Fei Xie
  • Guowu Yang
  • Xiaoyu Song
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4218)

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.

Keywords

Model Check Embed System Software Component Formal Semantic Component Property 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fei Xie
    • 1
  • Guowu Yang
    • 1
  • Xiaoyu Song
    • 2
  1. 1.Dept. of Computer SciencePortland State Univ.Portland
  2. 2.Dept. of Electrical & Computer EngineeringPortland State Univ.Portland

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