Compositional Verification of Concurrent and Real-Time Systems

Name: Compositional Verification of Concurrent and Real-Time Systems
Brand: Springer-Verlag New York Inc.
SKU: 9781402070259
Price: 481.79 PLN
Availability: InStock

Autor: Eric Y.T. Juan, Jeffrey J.P. Tsai

Język:

Oprawa: Twarda

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy w małych ilościach

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With the rapid growth of networking and high-computing power, the demand for large-scale and complex...

Informacje o książce

Autor

Eric Y.T. Juan, Jeffrey J.P. Tsai

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2002

strony

196

EAN

9781402070259

ISBN

140207025X

Enbook ID

01417718

Wydawca

Springer-Verlag New York Inc.

Waga

1080

Wymiary

155 x 235 x 17

Pełny opis

With the rapid growth of networking and high-computing power, the demand for large-scale and complex software systems has increased dramatically. Since many of the software systems support or supplant human control of safety-critical systems (such as those found in flight control, space shuttle control, aircraft avionics, robotics, patient monitoring devices and nuclear power plants), failure of such systems could have disastrous effects. It is essential, therefore, that software used for safety-critical systems preserves high assurance properties.§Compositional Verification of Concurrent and Real-Time Systems introduces important modeling and formal verification techniques for verifying the reliability and correctness of high-assurance software systems. The book focuses on the efficient analysis of large-scale systems based on the concept of "compositional verification" of modules.§Compositional Verification of Concurrent and Real-Time Systems is an excellent resource for student and researchers who seek a comprehensive understanding of how formal methods can be applied to the problems of intellectual or industrial significance. The application areas include concurrent systems, distributed systems, embedded systems, and real-time systems. The analysis models used are Multiset Labeled Transition Systems and Time Petri Nets.

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