DocumentCode
1237213
Title
Understanding and Automating Algorithm Design
Author
Kant, Elaine
Author_Institution
Schlumberger-Doll Research
Issue
11
fYear
1985
Firstpage
1361
Lastpage
1374
Abstract
Algorithm design is a challenging intellectual activity that provides a rich source of observation and a test domain for a theory of problem-solving behavior. This paper describes a theory of the algorithm design process based on observations of human design and also outlines a framework for automatic design. The adaptation of the theory of human design to a framework for automation in the DESIGNER system helps us understand human design better, and the implementation process helps validate the framework. Issues discussed in this paper include the problem spaces used for design, the loci of knowledge and problem-solving power, and the relationship to other methods of algorithm design and to automatic programming as a whole.
Keywords
Automatic programming; automating algorithm design; human problem solving; program synthesis; protocol analysis; Algorithm design and analysis; Automatic programming; Design automation; Design methodology; High level languages; Humans; Problem-solving; Process design; Protocols; Testing; Automatic programming; automating algorithm design; human problem solving; program synthesis; protocol analysis;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/TSE.1985.231884
Filename
1701952
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