Modular Specification and Verification of Object-Oriented Programs
Software systems play an increasingly important role in modern societies. Smart cards for personal identification, e-banking, software-controlled me- cal tools, airbags in cars, and autopilots for aircraft control are only some examples that illustrate how everyday life depends on the good behavior of software. Consequently, techniques and methods for the development of hi- quality, dependable software systems are a central research topic in computer science. A fundamental approach to this area is to use formal specification and verification. Specification languages allow one to describe the crucial p- perties of software systems in an abstract, mathematically precise, and implementation-independent way. By formal verification, one can then prove that an implementation really has the desired, specified properties. Although this formal methods approach has been a research topic for more than 30 years, its practical success is still restricted to domains in which devel- ment costs are of minor importance. Two aspects are crucial to widen the application area of formal methods: – Formal specification techniques have to be smoothly integrated into the software and program development process. – The techniques have to be applicable to reusable software components. This way, the quality gain can be exploited for more than one system, thereby justifying the higher development costs. Starting from these considerations, Peter Muller ¨ has developed new te- niques for the formal specification and verification of object-oriented so- ware. The specification techniques are declarative and implementati- independent. They can be used for object-oriented design and programming.
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Modular Specification and Verification of Object-Oriented Programs
Software systems play an increasingly important role in modern societies. Smart cards for personal identification, e-banking, software-controlled me- cal tools, airbags in cars, and autopilots for aircraft control are only some examples that illustrate how everyday life depends on the good behavior of software. Consequently, techniques and methods for the development of hi- quality, dependable software systems are a central research topic in computer science. A fundamental approach to this area is to use formal specification and verification. Specification languages allow one to describe the crucial p- perties of software systems in an abstract, mathematically precise, and implementation-independent way. By formal verification, one can then prove that an implementation really has the desired, specified properties. Although this formal methods approach has been a research topic for more than 30 years, its practical success is still restricted to domains in which devel- ment costs are of minor importance. Two aspects are crucial to widen the application area of formal methods: – Formal specification techniques have to be smoothly integrated into the software and program development process. – The techniques have to be applicable to reusable software components. This way, the quality gain can be exploited for more than one system, thereby justifying the higher development costs. Starting from these considerations, Peter Muller ¨ has developed new te- niques for the formal specification and verification of object-oriented so- ware. The specification techniques are declarative and implementati- independent. They can be used for object-oriented design and programming.
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Modular Specification and Verification of Object-Oriented Programs

Modular Specification and Verification of Object-Oriented Programs

by Peter Mïller
Modular Specification and Verification of Object-Oriented Programs

Modular Specification and Verification of Object-Oriented Programs

by Peter Mïller

Paperback(2002)

$54.99 
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Overview

Software systems play an increasingly important role in modern societies. Smart cards for personal identification, e-banking, software-controlled me- cal tools, airbags in cars, and autopilots for aircraft control are only some examples that illustrate how everyday life depends on the good behavior of software. Consequently, techniques and methods for the development of hi- quality, dependable software systems are a central research topic in computer science. A fundamental approach to this area is to use formal specification and verification. Specification languages allow one to describe the crucial p- perties of software systems in an abstract, mathematically precise, and implementation-independent way. By formal verification, one can then prove that an implementation really has the desired, specified properties. Although this formal methods approach has been a research topic for more than 30 years, its practical success is still restricted to domains in which devel- ment costs are of minor importance. Two aspects are crucial to widen the application area of formal methods: – Formal specification techniques have to be smoothly integrated into the software and program development process. – The techniques have to be applicable to reusable software components. This way, the quality gain can be exploited for more than one system, thereby justifying the higher development costs. Starting from these considerations, Peter Muller ¨ has developed new te- niques for the formal specification and verification of object-oriented so- ware. The specification techniques are declarative and implementati- independent. They can be used for object-oriented design and programming.

Product Details

ISBN-13: 9783540431671
Publisher: Springer Berlin Heidelberg
Publication date: 03/22/2002
Series: Lecture Notes in Computer Science , #2262
Edition description: 2002
Pages: 298
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Mojave and the Universe Type System.- The Semantics of Mojave.- Modular Specification and Verification of Functional Behavior.- Modular Specification and Verification of Frame Properties.- Modular Specification and Verification of Type Invariants.- Conclusion.- Formal Background and Notations.- Predefined Type Declarations.- Examples.- Auxiliary Lemmas, Proofs, and Models.
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