Ideal stream algebra

  • We provide some mathematical properties of behaviours of systems, where the individual elements of a behaviour are modeled by ideals, ie. downward closed directed subsets of a suitable partial order. It is well-known that the associated ideal completion provides a simple way of constructing algebraic cpos. An ideal can be viewed as a set of consistent finite or compact approximations of an object which itself may be infinite. A special case is the domain of streams where the finite approximations are the finite prefixes of a stream. We introduce a special way of characterising behaviours through sets of relevant approximations. This is a generalisation of the technique we have used earlier for the case of streams. Given a subset P of a partially orderered set M, we define ide P as the set of downward closures of the directed subsets of P. We prove a number of distributivity and monotonicity laws for ide and related operators. They are the basis for correct refinement of specificationsWe provide some mathematical properties of behaviours of systems, where the individual elements of a behaviour are modeled by ideals, ie. downward closed directed subsets of a suitable partial order. It is well-known that the associated ideal completion provides a simple way of constructing algebraic cpos. An ideal can be viewed as a set of consistent finite or compact approximations of an object which itself may be infinite. A special case is the domain of streams where the finite approximations are the finite prefixes of a stream. We introduce a special way of characterising behaviours through sets of relevant approximations. This is a generalisation of the technique we have used earlier for the case of streams. Given a subset P of a partially orderered set M, we define ide P as the set of downward closures of the directed subsets of P. We prove a number of distributivity and monotonicity laws for ide and related operators. They are the basis for correct refinement of specifications into implementations. Various small examples illustrate that the operators lead to very concise while quite clear specifications. Finally, we give a characterisation of safety and liveness and generalise the Alpern/Schneider decomposition lemma to arbitrary domains. An extended example concerns the specification and transformational development of an asynchronous bounded queue.show moreshow less

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Metadaten
Author:Bernhard MöllerGND
URN:urn:nbn:de:bvb:384-opus4-262303
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/26230
ISSN:0302-9743OPAC
Parent Title (English):Lecture Notes in Computer Science
Publisher:Springer
Type:Article
Language:English
Year of first Publication:1998
Publishing Institution:Universität Augsburg
Release Date:2017/07/21
Volume:1546
First Page:69
Last Page:116
DOI:https://doi.org/10.1007/3-540-49254-2_3
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Programmiermethodik und Multimediale Informationssysteme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht