Titlebook: Computer Aided Verification; 28th International C Swarat Chaudhuri,Azadeh Farzan Conference proceedings 2016 Springer International Publish

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Model Checking at Scale: Automated Air Traffic Control Design Space Explorationet designs. The 1,620 designs that were most relevant to NASA were analyzed exhaustively. To deal with the massive amount of data generated, we apply novel data-analysis techniques that enable a rich comparison of the designs, including safety aspects. Our results were validated by NASA system desig

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End-to-End Verification of , Processors with ISA-Formalg/stall logic of processors. A key part of making the approach scale is use of a mechanical translation of ARM’s Architecture Reference Manuals to Verilog allowing the use of commercial model-checkers. ISA-Formal has proven especially effective at finding micro-architecture specific bugs involving c

PACT

Probabilistic Automated Language Learning for Configuration Filesion file type with minimal user input. Our tool, named  ConfigC, relies on an abstract representation of language rules to allow for this modularity. ConfigC supports learning of various rules, such as orderings, value relations, type errors, or user defined rules by using a probabilistic type infer

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Liveness of Randomised Parameterised Systems under Arbitrary Schedulerse automaton. The method is incremental and exploits both Angluin-style L*-learning and SAT-solvers. Our experiments show that our algorithm is able to prove liveness automatically for well-known randomised distributed protocols, including Lehmann-Rabin Randomised Dining Philosopher Protocol and rand

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Hitting Families of Schedules for Asynchronous Programsmily that executes these events in this ordering. The size of a .-hitting family may be much smaller than the number of all possible schedules, and a natural question is whether one can find .-hitting families of schedules that have small size..In general, finding the size of optimal .-hitting famil

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XSat: A Fast Floating-Point Satisfiability SolverhSat, Z3 and Coral, state-of-the-art solvers that support floating-point arithmetic. Evaluated on 34 representative benchmarks from the SMT-Competition 2015, XSat significantly outperforms these solvers. In particular, it provides both 100 % consistent satisfiability results as MathSat and Z3, and a

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Compositional Synthesis of Reactive Controllers for Multi-agent Systems of the structure of the system, compositional synthesis algorithm can significantly outperform centralized synthesis approach, both from time and memory perspective, and can solve problems where the centralized algorithm is infeasible. Our findings show the potential of symbolic and compositional r