Building on this, Assurance 2.0 is an approach to the development and presentation of assurance cases that is intended to make their construction and assessment more straightforward, yet also more rigorous. In fact, it is rigor that enables straightforwardness because it reduces the "bewilderment of choice" and makes assurance cases more systematic and predictable. Assurance 2.0 employs several ideas that are not in themselves new, but integrates them in a way that we believe is coherent and effective.
Our papers on Assurance 2.0 are listed below in reverse chronological order. We suggest starting with either the "Manifesto" paper (broad but light on details) or the one from Cliff Jones' Festschrift (more technical but also more narrowly focused). Look at the 2-page "Nutshell" when you need a really high-level overview or memory aid.
Assurance 2.0 in a Nutshell (PDF) by
Robin Bloomfield and John Rushby. CSL Technical Note October 2024.
Confidence in Assurance 2.0 Cases by
Robin Bloomfield and John Rushby. Also available as
arXiv 2409.10665.
Assessing Confidence in Assurance 2.0 by
Robin Bloomfield and John
Rushby, Technical Report
SRI-CSL-2022-02, May 2022 and also available as
arXiv 2205.04522,
both revised May 2024
Defeaters and Eliminative
Argumentation in Assurance 2.0 by
Robin Bloomfield, Kate Netkachova, and John
Rushby, Technical Report
SRI-CSL-2024-01, May 2024;
also available as arXiv 2405.15800.
Clarissa supports the construction and evaluation of assurance cases using Assurance 2.0, and provides tools for logical and probabilistic assessment, defeaters, and residual doubts. It also has a synthesis assistant that can synthesize assurance (sub)cases from templates provided in a theory.
In addition Clarissa has tools for exploring semantic properties. It can use an LLM to translate claims into a logical representation, then perform reasoning using Answer Set Programming with s(CASP) to examine properties such as consistency, certain forms of well-formedness, and completeness.
Enabling Theory-based Continuous
Assurance: A Coherent Approach with Semantics and Automated
Synthesis, by Srivatsan Varadarajan et al. Presented at
SASSUR Workshop, Sept 2024, published in SafeComp Workshops,
Springer LNCS 14989. pp 173--187
Automating Semantic Analysis of System
Assurance Cases using Goal-directed ASP by Anitha Murugesan et
al. To appear in special issue of TPLP but already available at arXiv 2408.11699.
Return to my bibliography page.
John Rushby (R u s h b y @ c s l . s r i . c o m)