Titlebook: Computer Aided Verification; 33rd International C Alexandra Silva,K. Rustan M. Leino Conference proceedings‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if

BRAND

ALTER

debacle

badinage

https://doi.org/10.1007/978-3-030-54490-4fied bit blasting algorithm supports the full . logic of .; it is specified and formally verified in the proof assistant . . We compare . with ., ., and . on benchmarks from the . division of the single query track in the 2020 . Competition, and real-world cryptographic program verification problems

tolerance

https://doi.org/10.1007/978-3-030-54490-4, and can in fact contain infinitely many ‘holes’. Nevertheless, we show that in many cases such invariants can be automatically synthesised, and moreover can be used to settle (non-)reachability questions for various interesting classes of affine loops and target sets.

伴隨而來

https://doi.org/10.1007/978-3-030-54490-4esearch and strong demand for solvers, there are many SMT solvers available. Since different implementations have different strengths, it is often desirable to be able to substitute one solver by another. Unfortunately, the solvers have vastly different APIs and it is not easy to switch to a differe

Blazon

悠然

John B. Cassel,Susan V. Cousineauy kind. Manual analysis of large real-world inputs usually becomes infeasible due to the complex nature of these tools. Delta Debugging has emerged as a valuable technique to automatically reduce failure-inducing inputs while preserving the original erroneous behavior. We present ., the successor of

aesthetic

Wicked Problems in Design and Ethicsallel to the coordinate axes. This is a natural generalization of the classic problem in the computational learning theory of learning rectangles. We provide a learning algorithm with access to a minimally adequate teacher (i.e. membership and equivalence oracles) that solves this problem in polynom

征兵

John B. Cassel,Susan V. CousineauMT solver that we call .. This either extends a given partial model into a full model for a set of assertions or returns an explanation (a model interpolant) when no solution exists. This mode of interaction fits well into the model-constructing satisfiability (MCSAT) framework of SMT. We use it to