Algebraic Specification: Difference between revisions

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==See also==
==See also==
* [[AII]]
* [[AII]]
* [[:en:Algebraic specification]]
* [[:en:Algebraic specification|Algebraic specification]]
* [[:en:Common Algebraic Specification Language]].
* [[:en:Common Algebraic Specification Language|Common Algebraic Specification Language]].
* [[:en:Formal specification]]
* [[:en:Formal specification|Formal specification]]
* [[TAIS]]
* [[TAIS]]



Revision as of 11:00, 9 August 2009

en:Algebraic specification

This Page

Algebraic modeling of systems is a current in ai-integration.biz with antecedents going back to Langefors. This page documents the role in my systems offerings.

Overview

Algebraic specification [1][2][3] is a specific approach to the formal specification, prototyping, and general development of computer programs.

Elements

As an area of applied mathematics and computer science, Algebraic Specification (AS) addresses these concerns[1]:

    1. design of algebraic specification formalisms;
    2. application of algebraic specification techniques to the definition programming languages;
    3. generation of testable or executable prototypes from specifications.

Although there is also a branch of this topic which is more concentrated on theoretical computer than applications, the latter are the focus of this article.

Implementation

Algebraic specification Formalisms

Pure Functional Programming and Specifications

Development Practices

The broad spectrum of observed practices in which computer systems are actually developed is a superset of those covered in en:Software Engineering.

Capability Maturity

Software Design in a Social Context

Researchers

See also

Notes

  1. 1.0 1.1 Bergstra, J. A.; B. Mahr (1989). Algebraic Specification. Academic Press. ISBN 0-201-41635-2. 
  2. Ehrig, E.; J. Heering, J. Klint (1985). Algebraic Specification. EATCS Monographs on Theoretical Computer Science. 6. Springer-Vrlag. 
  3. Wirsing, M. (1990). J. van Leeuwen (ed.). ed. Algebraic Specification. Handbook of Theoretical Computer Science. B. Elsevier. pp. 675–788.