Model Checking (Cyber Physical Systems Series)

Edmund M. Clarke, Jr., Orna Grumberg, Doron A. Peled

ISBN 10: 0262032708 / ISBN 13: 9780262032704

Edité par MIT Press, 2000

A propos de cet article

Clean blue boards, with gilt titles to spine and an unclipped DW. Contents are tight, bright and clean, with no inscriptions, no annotations, and no foxing. 314pp. (18.5x23.5cm). Please contact us for any more information.

N° de réf. du vendeur 6370

Détails bibliographiques

• Titre: Model Checking (Cyber Physical Systems Series)
• Éditeur: MIT Press
• Date de parution: 2000
• Langue: anglais
• ISBN à 10 chiffres: 0262032708
• ISBN à 13 chiffres: 9780262032704
• Reliure: Hardcover
• État de l'article: As New
• Poids: 1 kilogramme
• Catalogues du vendeur:
  • Technology
  • Science
  • Mathematics

A propos de ce titre

Synopsis

Model checking is a technique for verifying finite state concurrent systems such as sequential circuit designs and communication protocols. It has a number of advantages over traditional approaches that are based on simulation, testing, and deductive reasoning. In particular, model checking is automatic and usually quite fast. Also, if the design contains an error, model checking will produce a counterexample that can be used to pinpoint the source of the error. The method, which was awarded the 1998 ACM Paris Kanellakis Award for Theory and Practice, has been used successfully in practice to verify real industrial designs, and companies are beginning to market commercial model checkers.

The main challenge in model checking is dealing with the state space explosion problem. This problem occurs in systems with many components that can interact with each other or systems with data structures that can assume many different values. In such cases the number of global states can be enormous. Researchers have made considerable progress on this problem over the last ten years.

This is the first comprehensive presentation of the theory and practice of model checking. The book, which includes basic as well as state-of-the-art techniques, algorithms, and tools, can be used both as an introduction to the subject and as a reference for researchers.

À propos de l?auteur

Edmund M. Clark, Jr., is Professor of Computer Science at Carnegie Mellon University.

. Orna Grumberg is Professor of Computer Science at Technion, Israel Institute of Technology.

Doron Peleg has worked in both academia and industry. He has taught Finance and Entrepreneurial Management at institutions of higher education including Hunter and Lehman colleges in New York City and Tel Aviv and Tel Hai colleges in Israel.