This book explores aspects of programming that are amenable to mathematical proof. The author describes a programming theory which is simpler and more comprehensive than the current theories to date. The text will be useful to students in courses on programming methodology or verification at the advanced undergraduate or beginning graduate level, as well as for software engineers in the field.

Inhalt
1 Basic Theories.- Boolean Theory.- Number Theory.- Character Theory.- 2 Basic Data Structures.- Bunch Theory.- Set Theory.- String Theory.- List Theory.- 3 Function Theory.- Functions.- Quantifiers.- Function Fine Points.- 4 Program Theory.- Specifications.- Program Development.- Time.- Robustness.- Refinement in Place.- 5 Programming Language.- Scope.- Data Structures.- Control Structures.- Time Dependence.- Assertions.- Subprogram.- Alias.- Functional Programming.- 6 Recursive Definition.- Recursive Data Definition.- Recursive Program Definition.- Limits.- 7 Theory Design and Implementation.- Data Theories.- Program Theories.- Specification by Implementation.- 8 Concurrency.- Independent Composition.- Circuit Design.- Found Concurrency.- 9 Communication.- Implementability.- Input and Output.- Recursively Defined Communication.- Input Composition.- Reaction Controller.- Communicating Processes.- Power Series Multiplication.- 10 Exercises.- Basic Theories.- Basic Data Structures.- Function Theory.- Program Theory.- Programming Language.- Recursive Definition.- Theory Design and Implementation.- Concurrency.- Communication.- 11 Reference.- Justifications.- Sources.- Axioms and Laws.- Symbols and Names.- Precedence.