Tools and Algorithms for the Construction and Analysis of Systems

Table of Contents

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   Book Overview
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   Chapter 1 A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems
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   Chapter 2 Bounded Model Checking for Asynchronous Hyperproperties
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   Chapter 3 Model Checking Linear Dynamical Systems under Floating-point Rounding
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   Chapter 4 Efficient Loop Conditions for Bounded Model Checking Hyperproperties
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   Chapter 5 Reconciling Preemption Bounding with DPOR
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   Chapter 6 Optimal Stateless Model Checking for Causal Consistency
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   Chapter 7 Symbolic Model Checking for TLA+ Made Faster
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   Chapter 8 AutoHyper: Explicit-State Model Checking for HyperLTL
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    Chapter 9 Feature Necessity & Relevancy in ML Classifier Explanations
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    Chapter 10 Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks
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    Chapter 11 OccRob : Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks
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    Chapter 12 Neural Network-Guided Synthesis of Recursive List Functions
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    Chapter 13 Modular Mix-and-Match Complementation of Büchi Automata
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    Chapter 15 Antichains Algorithms for the Inclusion Problem Between $$\omega $$ ω -VPL
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    Chapter 16 Stack-Aware Hyperproperties
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    Chapter 17 Propositional Proof Skeletons
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    Chapter 18 Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers
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    Chapter 19 Carcara : An Efficient Proof Checker and Elaborator for SMT Proofs in the Alethe Format
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    Chapter 20 The Packing Chromatic Number of the Infinite Square Grid is 15
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    Chapter 21 Active Learning for SAT Solver Benchmarking
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    Chapter 22 ParaQooba : A Fast and Flexible Framework for Parallel and Distributed QBF Solving
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    Chapter 23 Inferring Needless Write Memory Accesses on Ethereum Bytecode
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    Chapter 24 A Practitioner’s Guide to MDP Model Checking Algorithms
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    Chapter 25 Correct Approximation of Stationary Distributions
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    Chapter 26 Robust Almost-Sure Reachability in Multi-Environment MDPs
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    Chapter 27 Mungojerrie: Linear-Time Objectives in Model-Free Reinforcement Learning
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    Chapter 28 A Formal CHERI-C Semantics for Verification
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    Chapter 28 A Formal CHERI-C Semantics for Verification
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    Chapter 29 Automated Verification for Real-Time Systems
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    Chapter 30 Parameterized Verification under TSO with Data Types
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    Chapter 31 Verifying Learning-Based Robotic Navigation Systems
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    Chapter 32 Make Flows Small Again: Revisiting the Flow Framework
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    Chapter 33 ALASCA: Reasoning in Quantified Linear Arithmetic
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    Chapter 34 A Matrix-Based Approach to Parity Games
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    Chapter 35 A GPU Tree Database for Many-Core Explicit State Space Exploration