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Model Checking Software

Overview of attention for book
Cover of 'Model Checking Software'

Table of Contents

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    Book Overview
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    Chapter 1 Model Verification Through Dependency Graphs
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    Chapter 2 Model Checking Branching Time Properties for Incomplete Markov Chains
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    Chapter 3 A Novel Decentralized LTL Monitoring Framework Using Formula Progression Table
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    Chapter 4 From Dynamic State Machines to Promela
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    Chapter 5 String Abstraction for Model Checking of C Programs
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    Chapter 6 Swarm Model Checking on the GPU
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    Chapter 7 Statistical Model Checking of Complex Robotic Systems
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    Chapter 8 STAD: Stack Trace Based Automatic Software Misconfiguration Diagnosis via Value Dependency Graph
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    Chapter 9 Extracting Safe Thread Schedules from Incomplete Model Checking Results
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    Chapter 10 Learning Guided Enumerative Synthesis for Superoptimization
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    Chapter 11 Applying Model Checking Approach with Floating Point Arithmetic for Verification of Air Collision Avoidance Maneuver Hybrid Model
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    Chapter 12 Conformance Testing of Schedulers for DSL-based Model Checking
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    Chapter 13 A Study of Learning Data Structure Invariants Using Off-the-shelf Tools
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    Chapter 14 VeriVANca: An Actor-Based Framework for Formal Verification of Warning Message Dissemination Schemes in VANETs
Attention for Chapter 6: Swarm Model Checking on the GPU
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Chapter title
Swarm Model Checking on the GPU
Chapter number 6
Book title
Model Checking Software
Published by
Springer, Cham, July 2019
DOI 10.1007/978-3-030-30923-7_6
Book ISBNs
978-3-03-030922-0, 978-3-03-030923-7
Authors

Richard DeFrancisco, Shenghsun Cho, Michael Ferdman, Scott A. Smolka, DeFrancisco, Richard, Cho, Shenghsun, Ferdman, Michael, Smolka, Scott A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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