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Computer Aided Verification

Overview of attention for book
Cover of 'Computer Aided Verification'

Table of Contents

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    Book Overview
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    Chapter 1 A Trusted Mechanised Specification of JavaScript: One Year On
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    Chapter 2 On Automation of CTL* Verification for Infinite-State Systems
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    Chapter 3 Algorithms for Model Checking HyperLTL and HyperCTL^*
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    Chapter 4 Fairness Modulo Theory: A New Approach to LTL Software Model Checking
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    Chapter 5 Model Checking Parameterized Asynchronous Shared-Memory Systems
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    Chapter 6 SMT and POR Beat Counter Abstraction: Parameterized Model Checking of Threshold-Based Distributed Algorithms
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    Chapter 7 Skipping Refinement
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    Chapter 8 Percentile Queries in Multi-dimensional Markov Decision Processes
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    Chapter 9 Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs
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    Chapter 10 Counterexample Explanation by Learning Small Strategies in Markov Decision Processes
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    Chapter 11 Symbolic Polytopes for Quantitative Interpolation and Verification
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    Chapter 12 Adaptive Aggregation of Markov Chains: Quantitative Analysis of Chemical Reaction Networks
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    Chapter 13 PROPhESY: A PRObabilistic ParamEter SYnthesis Tool
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    Chapter 14 Effective Search-Space Pruning for Solvers of String Equations, Regular Expressions and Length Constraints
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    Chapter 15 Automata-Based Model Counting for String Constraints
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    Chapter 16 OpenJDK’s Java.utils.Collection.sort() Is Broken: The Good, the Bad and the Worst Case
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    Chapter 17 Tree Buffers
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    Chapter 18 Learning Commutativity Specifications
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    Chapter 19 Angelic Verification: Precise Verification Modulo Unknowns
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    Chapter 20 The SeaHorn Verification Framework
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    Chapter 21 Automatic Rootcausing for Program Equivalence Failures in Binaries
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    Chapter 22 Fine-Grained Caching of Verification Results
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    Chapter 23 Predicting a Correct Program in Programming by Example
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    Chapter 24 Abstract Interpretation with Higher-Dimensional Ellipsoids and Conic Extrapolation
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    Chapter 25 Adam: Causality-Based Synthesis of Distributed Systems
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    Chapter 26 Alchemist: Learning Guarded Affine Functions
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    Chapter 27 OptiMathSAT: A Tool for Optimization Modulo Theories
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    Chapter 28 Systematic Asynchrony Bug Exploration for Android Apps
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    Chapter 29 Norn: An SMT Solver for String Constraints
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    Chapter 30 PVSio-web 2.0: Joining PVS to HCI
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    Chapter 31 The Hanoi Omega-Automata Format
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    Chapter 32 The Open-Source LearnLib
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    Chapter 33 Bbs: A Phase-Bounded Model Checker for Asynchronous Programs
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    Chapter 34 Time-Aware Abstractions in HybridSal
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    Chapter 35 A Type-Directed Approach to Program Repair
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    Chapter 36 Formal Design and Safety Analysis of AIR6110 Wheel Brake System
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    Chapter 37 Meeting a Powertrain Verification Challenge
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    Chapter 38 Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data
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    Chapter 39 Empirical Software Metrics for Benchmarking of Verification Tools
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    Chapter 40 Property-Directed Inference of Universal Invariants or Proving Their Absence
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    Chapter 41 Efficient Anytime Techniques for Model-Based Safety Analysis
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    Chapter 42 Boosting k-Induction with Continuously-Refined Invariants
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    Chapter 43 Fast Interpolating BMC
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    Chapter 44 Counterexample-Guided Polynomial Loop Invariant Generation by Lagrange Interpolation
Attention for Chapter 38: Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data
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Chapter title
Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data
Chapter number 38
Book title
Computer Aided Verification
Published by
Springer, Cham, July 2015
DOI 10.1007/978-3-319-21690-4_38
Book ISBNs
978-3-31-921689-8, 978-3-31-921690-4
Authors

Jasmin Fisher, Ali Sinan Köksal, Nir Piterman, Steven Woodhouse

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 39%
Researcher 9 22%
Student > Postgraduate 3 7%
Student > Master 3 7%
Professor 1 2%
Other 1 2%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Computer Science 9 22%
Biochemistry, Genetics and Molecular Biology 6 15%
Engineering 3 7%
Physics and Astronomy 2 5%
Other 2 5%
Unknown 9 22%

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