Handbook of Model Checking

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.

Inhaltsverzeichnis:

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 Synthe sis.-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.

Rezension:

"This book is invaluable to the Ph.D. students, who like to dive in the field, learn about state-of-the-art techniques and find open problems. It is also helpful to the researchers who like to refresh their memory on a particular model checking technique and get pointers to the further reading." (Igor Konnov, Formal Aspects of Computing, Vol. 31, 2019)
"The handbook's target audience is primarily researchers and graduate students who want to master the technical cores of model checking techniques. The text is encyclopedic in scope and provides an extensive treatment of the model checking domain." (Vitus S.W. Lam, Computing Reviews, May 20, 2019)