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Written for hardware-software system engineers, researchers and students, this text introduces a systems engineering method that guides the development of software and embedded hardware-software systems seamlessly from requirements capture to their implementation. It helps the designer to cope with the three stumbling-blocks of building modern software based systems: size, complexity and trustworthiness. It covers within a single conceptual framework both design, verification by reasoning techniques, and experimental validation by simulation and testing. The text contains detailed proofs, exercises, as well as numerous real-world examples and case studies.
About the author
Egon Börger ist Professor für Informatik an der Universität Pisa (Italien) und Alexander-von-Humboldt-Forschungspreisträger.
Summary
Written for hardware-software system engineers, researchers and students, this text introduces a systems engineering method that guides the development of software and embedded hardware-software systems seamlessly from requirements capture to their implementation. It helps the designer to cope with the three stumbling-blocks of building modern software based systems: size, complexity and trustworthiness. It covers within a single conceptual framework both design, verification by reasoning techniques, and experimental validation by simulation and testing. The text contains detailed proofs, exercises, as well as numerous real-world examples and case studies.
Additional text
From the reviews:"The Turing Test gives a comprehensive, in-depth and contemporary assessment of this classic topic in artificial intelligence. This book elaborates in detail the numerous conflicting points of view on many aspects of this multifaceted, controversial subject. … This volume is a valuable reading for research on the Turing test and for teaching undergraduate and graduate students in philosophy, computer science, and cognitive science." (Jörg Desel, Zentralblatt MATH, Vol. 1040 (9), 2004)"Borger and Stark do an admirable job of documention and extending a method for bridging the considerable gap between theoretical system models, which often only allow for toy systems to be modeled and require proofs to be done only by hand, and real-life systems and practices." (Shrisha, Rao, Ceda Rapids, IA, Computing Reviews, February, 2004)
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From the reviews:
"The Turing Test gives a comprehensive, in-depth and contemporary assessment of this classic topic in artificial intelligence. This book elaborates in detail the numerous conflicting points of view on many aspects of this multifaceted, controversial subject. ... This volume is a valuable reading for research on the Turing test and for teaching undergraduate and graduate students in philosophy, computer science, and cognitive science." (Jörg Desel, Zentralblatt MATH, Vol. 1040 (9), 2004)
"Borger and Stark do an admirable job of documention and extending a method for bridging the considerable gap between theoretical system models, which often only allow for toy systems to be modeled and require proofs to be done only by hand, and real-life systems and practices." (Shrisha, Rao, Ceda Rapids, IA, Computing Reviews, February, 2004)
