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 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 is a beautiful, and useful introduction, to the subject of model checking, and related subject matter; Now in it's second edition, it contains, a number of new topics, and updated references. The first edition, was recommended to me at one point when I was younger, perhaps form 2-3 (when I was briefly introduced to Naoki Kobayashi, at the behest of some student in my class); My aunt however, immediately confiscated the copy, even though it was quite expensive. Recommended.