Please use this identifier to cite or link to this item: doi:10.22028/D291-37891
Title: Ape: An Expert System for Automatic Programming from Abstract Specifications of Data Types and Algorithms
Author(s): Bartels, Ulrich
Olthoff, Walter
Raulefs, Peter
Language: English
Publisher/Platform: Univ. [u.a.]
Year of Publication: 1981
Place of publication: Bonn [u.a.]
Free key words: Abstract data types
automatic programming
codification of programming knowledge
expert systems
knowledge representation
production systems
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: The APE (Automatic Programming Expert) system constructs executable and efficient programs from algebraic specifications of abstract data types, and abstract algorithms given as conditional term-rewrite-rule-systems with terms built up from operation symbols of the abstract data types involved. The APE is an experimental system devised to develop methods for codifying a rather Broad extent of programming knowledge required to construct implementations of data types and algorithms. For data type specifications, the APE admits hidden operations, conditional axioms, and parameterized data types. The APE automatically implements algebraic specifications of all commonly known data types in terms of clusters of INTERLISP-functions. The APE constructs executable implementations of a variety of sorting and searching algorithms. As an experimental prototype, the APE demonstrates that a knowledge-based programming paradigm provides a useful tool for partially automating an important phase of software development.
Link to this record: urn:nbn:de:bsz:291--ds-378919
hdl:20.500.11880/35055
http://dx.doi.org/10.22028/D291-37891
Series name: Memo SEKI : SEKI-Projekt / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI
Series volume: 81,1
Date of registration: 30-Jan-2023
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professorship: SE - Sonstige
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