Handbook of Model Checking
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Handbook of Model Checking

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783319105758
Veröffentl:
2018
Einband:
eBook
Seiten:
1212
Autor:
Edmund M. Clarke
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

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.

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.

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.

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