Title :
Clusters and Dialogues for Set Implementations
Author :
Katzenelson, Jacob
Author_Institution :
Department of Electrical Engineering, Technion, Israel Institute of Technology
fDate :
5/1/1979 12:00:00 AM
Abstract :
The extensible set language (ESL) uses clusters for extending the set oriented language and for mapping the sets and their operators into base language data structure and operators. The main difficulty in this mapping is the dependency among clusters, i.e., the use of one data structure requires the modification or the constraint of another. The dialogue is a compile time procedure which is part of a cluster. It manipulates data structures and enables each cluster to appear independent; it also enables the user to choose one of a family of data implementations defmed by the cluster. Thus the dialogue makes it possible for a data structure to appear as a building block which can be used simply and flexibly.
Keywords :
Abstract data types; clusters for the implementation of data abstraction; dependency among clusters; dialogues; efficient code for very high level languages; programming languages; programming methodology; set languages; very high level languages; Circuit testing; Computer languages; Computer networks; Data structures; Design automation; Documentation; High level languages; Jacobian matrices; Large-scale systems; Programming profession; Abstract data types; clusters for the implementation of data abstraction; dependency among clusters; dialogues; efficient code for very high level languages; programming languages; programming methodology; set languages; very high level languages;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1979.234187