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 Decomposing Farkas Interpolants
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   Chapter 2 Parallel SAT Simplification on GPU Architectures
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   Chapter 3 Encoding Redundancy for Satisfaction-Driven Clause Learning
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   Chapter 4 $$\mathsf {WAPS}$$ : Weighted and Projected Sampling
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   Chapter 5 Building Better Bit-Blasting for Floating-Point Problems
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   Chapter 6 The Axiom Profiler: Understanding and Debugging SMT Quantifier Instantiations
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   Chapter 7 On the Empirical Time Complexity of Scale-Free 3-SAT at the Phase Transition
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   Chapter 8 Modular and Efficient Divide-and-Conquer SAT Solver on Top of the Painless Framework
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    Chapter 9 Quantitative Verification of Masked Arithmetic Programs Against Side-Channel Attacks
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    Chapter 10 Incremental Analysis of Evolving Alloy Models
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    Chapter 11 Extending a Brainiac Prover to Lambda-Free Higher-Order Logic
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    Chapter 12 LCV: A Verification Tool for Linear Controller Software
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    Chapter 13 Semantic Fault Localization and Suspiciousness Ranking
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    Chapter 14 Computing Coupled Similarity
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    Chapter 15 Reachability Analysis for Termination and Confluence of Rewriting
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    Chapter 16 VoxLogicA : A Spatial Model Checker for Declarative Image Analysis
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    Chapter 17 On Reachability in Parameterized Phaser Programs
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    Chapter 18 Abstract Dependency Graphs and Their Application to Model Checking
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    Chapter 19 nonreach – A Tool for Nonreachability Analysis
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    Chapter 20 The Quantitative Verification Benchmark Set
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    Chapter 21 ILAng: A Modeling and Verification Platform for SoCs Using Instruction-Level Abstractions
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    Chapter 22 MetAcsl : Specification and Verification of High-Level Properties
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    Chapter 23 ROLL 1.0 : $$\omega $$ -Regular Language Learning Library
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    Chapter 24 Symbolic Regex Matcher
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    Chapter 25 COMPASS 3.0
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    Chapter 26 Debugging of Behavioural Models with CLEAR
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    Chapter 27 Omega-Regular Objectives in Model-Free Reinforcement Learning
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    Chapter 28 Verifiably Safe Off-Model Reinforcement Learning