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Verification, Model Checking, and Abstract Interpretation

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Cover of 'Verification, Model Checking, and Abstract Interpretation'

Table of Contents

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    Book Overview
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    Chapter 1 Variations on the Stochastic Shortest Path Problem
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    Chapter 2 Abstracting Induction by Extrapolation and Interpolation
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    Chapter 3 Path Sensitive Cache Analysis Using Cache Miss Paths
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    Chapter 4 Datacentric Semantics for Verification of Privacy Policy Compliance by Mobile Applications
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    Chapter 5 Induction for SMT Solvers
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    Chapter 6 Automatic Synthesis of Piecewise Linear Quadratic Invariants for Programs
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    Chapter 7 Distributed Markov Chains
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    Chapter 8 Analysis of Infinite-State Graph Transformation Systems by Cluster Abstraction
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    Chapter 9 A Model for Industrial Real-Time Systems
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    Chapter 10 Abstraction-Based Computation of Reward Measures for Markov Automata
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    Chapter 11 Proving Guarantee and Recurrence Temporal Properties by Abstract Interpretation
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    Chapter 12 Tree Automata-Based Refinement with Application to Horn Clause Verification
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    Chapter 13 Abstracting and Counting Synchronizing Processes
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    Chapter 14 Debugging Process Algebra Specifications
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    Chapter 15 Property Directed Polyhedral Abstraction
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    Chapter 16 Abstraction of Arrays Based on Non Contiguous Partitions
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    Chapter 17 From Verification to Optimizations
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    Chapter 18 Foundations of Quantitative Predicate Abstraction for Stability Analysis of Hybrid Systems
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    Chapter 19 An Experimental Evaluation of Deliberate Unsoundness in a Static Program Analyzer
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    Chapter 20 Bounded Implementations of Replicated Data Types
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    Chapter 21 Verification, Model Checking, and Abstract Interpretation
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    Chapter 22 Automatic Inference of Heap Properties Exploiting Value Domains
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    Chapter 23 Dependent Array Type Inference from Tests
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    Chapter 24 A Hierarchy of Proof Rules for Checking Differential Invariance of Algebraic Sets
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    Chapter 25 Effective Abstractions for Verification under Relaxed Memory Models
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Title
Verification, Model Checking, and Abstract Interpretation
Published by
Springer Berlin Heidelberg, December 2014
DOI 10.1007/978-3-662-46081-8
ISBNs
978-3-66-246080-1, 978-3-66-246081-8
Editors

D’Souza, Deepak, Lal, Akash, Larsen, Kim Guldstrand

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%