Handbook of Model Checking [electronic resource] / edited by Edmund M. Clarke, Thomas A. Henzinger, Helmut Veith, Roderick Bloem.

Cham : Springer International Publishing : Imprint: Springer, 2018.
1 online resource (XXIV, 1210 pages) : 220 illustrations, 6 illustrations in color.
1st ed. 2018.
Computer Science (Springer-11645)
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Software engineering.
Logic, Symbolic and mathematical.
Computer science-Mathematics.
Computer software-Reusability.
Quality control.
Industrial safety.
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Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing from research traditions in mathematical logic, programming languages, hardware design, and theoretical computer science, model checking is now widely used for the verification of hardware and software in industry. The editors and authors of this handbook are among the world's leading researchers in this domain, and the 32 contributed chapters present a thorough view of the origin, theory, and application of model checking. In particular, the editors classify the advances in this domain and the chapters of the handbook in terms of two recurrent themes that have driven much of the research agenda: the algorithmic challenge, that is, designing model-checking algorithms that scale to real-life problems; and the modeling challenge, that is, extending the formalism beyond Kripke structures and temporal logic. The book will be valuable for researchers and graduate students engaged with the development of formal methods and verification tools. "This handbook is an authoritative, comprehensive description of the state of the art in model checking. It belongs on the bookshelf of every researcher and practitioner in computer-aided verification." [Moshe Y. Vardi, George Distinguished Service Professor in Computational Engineering, Rice University] "With chapters written by the world's leading experts from academia and industry, this authoritative book on model checking should be on the shelf of every computer science graduate student and every hardware and software engineer. As the scale and complexity of digital systems grow, and they must work in the presence of uncertainty in the physical world, verification techniques such as model checking will become increasingly important to ensure system reliability, safety, and security." [Jeannette Wing, Corporate Vice President, Microsoft Research].
Introduction to Model Checking
Temporal Logic and Fair Discrete Systems
Modeling for Verification
Automata Theory and Model Checking
Explicit-State Model Checking
Partial-Order Reduction
Binary Decision Diagrams
BDD-Based Symbolic Model Checking
Propositional SAT Solving
SAT-Based Model Checking
Satisfiability Modulo Theories
Compositional Reasoning
Abstraction and Abstraction Refinement
Interpolation and Model Checking
Predicate Abstraction for Program Verification
Combining Model Checking and Data-Flow Analysis
Model Checking Procedural Programs
Model Checking Concurrent Programs
Combining Model Checking and Testing
Combining Model Checking and Deduction
Model Checking Parameterized Systems
Model Checking Security Protocols
Transfer of Model Checking to Industrial Practice
Functional Specification of Hardware via Temporal Logic
Symbolic Trajectory Evaluation
The mu-calculus and Model Checking
Graph Games and Reactive Synthesis
Model Checking Probabilistic Systems
Model Checking Real-Time Systems
Verification of Hybrid Systems
Symbolic Model Checking in Non-Boolean Domains
Process Algebra and Model Checking.
Clarke, Edmund M. editor., Editor,
Henzinger, T. A. (Thomas A.), editor., Editor,
Veith, Helmut, editor., Editor,
Bloem, Roderick. editor., Editor,
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Printed edition:
9783319105741 (Printed edition)
9783319105765 (Printed edition)
9783030132330 (Printed edition)
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10.1007/978-3-319-10575-8 doi
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