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Enabling Theory-Based Continuous Assurance: A Coherent Approach with Semantics and Automated Synthesis

  • Srivatsan Varadarajan,
  • Robin Bloomfield,
  • John Rushby,
  • Gopal Gupta,
  • Anitha Murugesan,
  • Robert Stroud,
  • Kateryna Netkachova,
  • Isaac Hong Wong,
  • Joaquín Arias

摘要

Assurance cases are gaining traction as a viable means of certification in various safety/security critical industries. In this paper, we introduce a theory-based, property-driven continuous assurance framework that eliminates ad-hoc case constructions through emphasis on validity and soundness of the arguments, confidence of the claims/arguments/evidences and the systematized specification of defeaters. We then describe tools and automation support for semantic analysis of assurance cases and their synthesis. Finally, we showcase a continuous assurance tools infrastructure through an example.