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Model checking is a field of formal verification that uses algorithmic methods to automatically determine whether a hardware or software system model satisfies its specifications. Books in this category explain how systems are modeled as transition systems or automata and checked against temporal-logic properties (e.g., safety and liveness) through exhaustive state-space exploration. They cover foundational theory and algorithms—Kripke structures, LTL/CTL, fixpoints, symbolic and bounded model checking with BDDs and SAT/SMT—along with techniques for combating state explosion (abstraction, symmetry and partial-order reduction). Many titles introduce widely used tools (such as SPIN, NuSMV, UPPAAL, and PRISM), present case studies for concurrent, embedded, real-time, and probabilistic systems, and show how counterexamples support debugging. This category includes textbooks, research monographs, and practical guides aimed at students, researchers, and engineers seeking rigorous assurance of system correctness.

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