Formal Methods, Informally

How to Write Programs That Work

Häftad, Engelska, 2026

AvCarroll Morgan

709 kr

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Learn to program more effectively, faster, with better results... and enjoy both the learning experience and the benefits it ultimately brings. While this undergraduate-level textbook is motivated by formal methods, so encouraging habits that lead to correct and concise computer programs, its informal presentation sidesteps any rigid reliance on formal logic which programmers are sometimes led to believe is required. Instead, a straightforward and intuitive use of simple 'What's true here?' comments encourages precision of thought without prescription of notation. Drawing on decades of the author's experience in teaching/industry, the text's careful presentation concentrates on key principles of structuring and reasoning about programs, applying them first to small, understandable algorithms. Then students can concentrate on turning those reliably into their corresponding - and correct - program source codes. The text includes over 200 exercises, for many of which full solutions are provided. A set of all solutions is available for instructors' use.

Produktinformation

Utgivningsdatum2026-02-19
Mått170 x 244 x 20 mm
Vikt596 g
FormatHäftad
SpråkEngelska
Antal sidor374
FörlagCambridge University Press
ISBN9781009421027

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Carroll Morgan has been an innovator, educator and researcher in computer science for his whole career: first in industry, then as Lecturer and Fellow at the University of Oxford, and finally as Professor at the University of New South Wales. He is best known for his pioneering work in systematic- and correctness-oriented methods of writing computer programs and systems, and especially for his text Programming from Specifications. He is a member of IFIPWorking Groups 1.3, 1.7, 2.1 and 2.3 and received (jointly) the 'Best Cybersecurity Paper of the Year' award from the National Security Agency in 2015.

Preface; Part I. Everyday Programs: 1. Programs that work; 2. Using invariants to design loops; 3. Finding invariants; 4. Finding variants; 5. Checking assignments and conditionals; 6. Summary of Part I; Part II. Data Structures and Their Encapsulation: 1. Introduction to Part II; 2. Coupling invariants; 3. Case study in coupling invariants: Fibonacci numbers; 4. Encapsulated data-types: how exactly is it done?; 5. Case study: the Mean Calculator; 6. Summary of Part II; Part III. Concurrency — and How to Check It: 1. What is 'concurrency'?; 2. The Owicki–Gries method; 3. Critical sections with Owicki–Gries; 4. Peterson's algorithm for mutual exclusion; 5. Garbage collection on the fly; Part IV. Machine-Assisted Program Checking, and Testing: 1. Machine-assisted program checking; 2. Program testing; Afterword; Appendices; A. Drill exercises; B. Summary of rules for checking programs; C. Data refinement: the real story; D. The 'arithmetic' of conditions; E. Some helpful logical identities; F. Illustration of heap behaviour during garbage collection; G. Python-specific issues; H. Answers to selected drills; I. Answers to selected exercises; Bibliography; Index.