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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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Compositional Verification of Concurrent and Real-Time Systems (Paperback, Softcover reprint of the original 1st ed. 2002) Loot Price: R2,633
Discovery Miles 26 330
Compositional Verification of Concurrent and Real-Time Systems (Paperback, Softcover reprint of the original 1st ed. 2002):...

Compositional Verification of Concurrent and Real-Time Systems (Paperback, Softcover reprint of the original 1st ed. 2002)

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

Series: The Springer International Series in Engineering and Computer Science, 676

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Loot Price R2,633 Discovery Miles 26 330 | Repayment Terms: R247 pm x 12*

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With the rapid growth of networking and high-computing power, the demand for large-scale and complex software systems has increased dramatically. Many of the software systems support or supplant human control of safety-critical systems such as flight control systems, space shuttle control systems, aircraft avionics control systems, robotics, patient monitoring systems, nuclear power plant control systems, and so on. Failure of safety-critical systems could result in great disasters and loss of human life. Therefore, software used for safety critical systems should preserve high assurance properties. In order to comply with high assurance properties, a safety-critical system often shares resources between multiple concurrently active computing agents and must meet rigid real-time constraints. However, concurrency and timing constraints make the development of a safety-critical system much more error prone and arduous. The correctness of software systems nowadays depends mainly on the work of testing and debugging. Testing and debugging involve the process of de tecting, locating, analyzing, isolating, and correcting suspected faults using the runtime information of a system. However, testing and debugging are not sufficient to prove the correctness of a safety-critical system. In contrast, static analysis is supported by formalisms to specify the system precisely. Formal verification methods are then applied to prove the logical correctness of the system with respect to the specification. Formal verifica tion gives us greater confidence that safety-critical systems meet the desired assurance properties in order to avoid disastrous consequences.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: The Springer International Series in Engineering and Computer Science, 676
Release date: March 2013
First published: 2002
Authors: Eric Y.T. Juan • Jeffrey J.P. Tsai
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 196
Edition: Softcover reprint of the original 1st ed. 2002
ISBN-13: 978-1-4613-5349-2
Categories: Books > Computing & IT > Computer programming > Software engineering
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 1-4613-5349-1
Barcode: 9781461353492

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