Titlebook: Computer Aided Verification; 13th International C Gérard Berry,Hubert Comon,Alain Finkel Conference proceedings 2001 Springer-Verlag Berlin

conifer

Systematic Reviews in Educational Researchn accepting state). We show that both these problems can be solved in time .(...) and space .(..), where . is the size of the recursive machine and . is the maximum, over all component state machines, of the minimum of the number of entries and the number of exits of each component. We also study th

deriver

https://doi.org/10.1007/978-3-658-27602-7arameterized systems. The generated invariants can be transferred to the VC-validation phase without ever been examined by the user, which explains why we refer to them as “invisible”. The efficacy of the method is demonstrated by automatic verification of diverse parameterized systems in a fully au

MEAN

https://doi.org/10.1007/3-540-44585-4Automat; automata; model checking; proving; theorem proving; verification

Enzyme

corporate

https://doi.org/10.1007/978-3-030-93148-3, specifications for realistic software products are often unreadable when formalised. This talk will present and discuss more practical formal notation for software documentation and the role of such documentation in the verification process.

開(kāi)始從未

熱心

冰河期

https://doi.org/10.1007/1-4020-3174-2trees. It is therefore natural to verify parameterized-systems by inducting over this type. We employ a program transformation based proof methodology to automate such induction proofs. Our proof technique is geared to automate nested induction proofs which do not involve strengthening of induction

hermetic

https://doi.org/10.1007/1-4020-3174-2s are given. The methodology is based on the “compilation” of temporal formulas into variants of alternating tree automata called . (ABTAs). The paper gives an efficient on-the-fly model-checking procedure for ABTAs and illustrates how translations of temporal logics into ABTAs may be concisely spec

中和

https://doi.org/10.1007/1-4020-3174-2nsforms it into a Büchi automaton, using a generalized Büchi automaton as an intermediate step. Each automaton is simplified on-the-fly in order to save memory and time. As usual we simplify the LTL formula before any treatment. We implemented this algorithm and compared it with Spin: the experiment