Specifying Software: A Hands-On Introduction

Author:   R. D. Tennent (Queen's University, Ontario)
Publisher:   Cambridge University Press
ISBN:  

9781139164900


Publication Date:   05 June 2012
Format:   Undefined
Availability:   Available To Order   Availability explained
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Specifying Software: A Hands-On Introduction


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Overview

Provides an innovative hands-on introduction to techniques for specifying the behaviour of software components. It is primarily intended for use as a text book for a course in the 2nd or 3rd year of Computer Science and Computer Engineering programs, but it is also suitable for self-study. Using this book will help the reader improve programming skills and gain a sound foundation and motivation for subsequent courses in advanced algorithms and data structures, software design, formal methods, compilers, programming languages, and theory. The presentation is based on numerous examples and case studies appropriate to the level of programming expertise of the intended readership. The main topics covered are techniques for using programmer-friendly assertional notations to specify, develop, and verify small but non-trivial algorithms and data representations, and the use of state diagrams, grammars, and regular expressions to specify and develop recognizers for formal languages.

Full Product Details

Author:   R. D. Tennent (Queen's University, Ontario)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
ISBN:  

9781139164900


ISBN 10:   1139164902
Publication Date:   05 June 2012
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Introduction; Part I. Algorithms: 1. Specifying algorithms; 2. Verifying algorithms: basic techniques; 3. Verifying algorithms: some examples; 4. Additional verification techniques; Part II. Data Representations: 5. Data representation: a case study; 6. Data representation: additional examples; Part III. Language Recognizers: 7. Basic concepts; 8. State-transition diagrams; 9. Regular languages; 10. Context-free languages; 11. Parsing; 12. A taste of computability theory; Appendix A: programming language reference; Appendix B: hints for selected exercises; Index.

Reviews

'The treatment of state diagrams or grammars as specialized specification languages and embedding them into a more general context of specifying algorithms and data representations is an interesting approach that is quite novel ... I would like to single out both the author's approach and his style of presentation as very positive features of the book. Reading this book is definitely inspiring, and not just for a student.' Computing Reviews 'This book was written to support a short course in the second or third year of an undergraduate computer science, software engineering, or software design program. The prerequisites are fairly modest: some programming experience and some exposure to the most basic concepts of discrete mathematics and to the language of elementary logic. Using this book will help readers improve their programming skills and develop a solid foundation for subsequent courses in advanced algorithms and data structures, software design, formal methods, and compilers.' Zentralblatt fur Mathematik


'The treatment of state diagrams or grammars as specialized specification languages and embedding them into a more general context of specifying algorithms and data representations is an interesting approach that is quite novel … I would like to single out both the author's approach and his style of presentation as very positive features of the book. Reading this book is definitely inspiring, and not just for a student.' Computing Reviews 'This book was written to support a short course in the second or third year of an undergraduate computer science, software engineering, or software design program. The prerequisites are fairly modest: some programming experience and some exposure to the most basic concepts of discrete mathematics and to the language of elementary logic. Using this book will help readers improve their programming skills and develop a solid foundation for subsequent courses in advanced algorithms and data structures, software design, formal methods, and compilers.' Zentralblatt für Mathematik


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