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Abstraction, data types, and models for software

Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling -, 1980
In the area of software development and maintenance, a major issue is managing the complexity of the systems. Programming methodologies and languages to support them have grown in response to new ideas about how to cope with this complexity.
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Abstract data types in Euclid

ACM SIGPLAN Notices, 1978
The programming language Euclid provides features that support abstract data types, but does not strictly speaking provide a true data abstraction mechanism. This paper assesses the data abstraction facilities that Euclid does provide, examines the two ways of instantiating Euclid modules, and discusses other features of modules that the designers of ...
Ernest Chang   +2 more
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Crop type classification using a combination of optical and radar remote sensing data: a review

International Journal of Remote Sensing, 2019
Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years, crop type classification and monitoring were focused on single-source optical satellite data ...
A. Orynbaikyzy, U. Gessner, C. Conrad
semanticscholar   +1 more source

Constructive Abstract Data types (CAD)

ACM SIGMOD Record, 1980
1. Distinction from conventional approaches The motivation for CAD is to extend the idea of data abstraction to application programming. Conventional approaches confine themselves to operational concepts of system programming like STACK, QUEUE etc. and do not consider concepts like CONTRACT, INVOICE etc.
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An experience in implementing abstract data types

Software: Practice and Experience, 1981
AbstractThe abstract data type concept appears to be a useful software structuring tool. A project, called ‘Système d'Objets Conservés’, which was developed at the University of Rennes, (France), gave some experience in implementing this concept. The possibility of including abstract data type into a pre‐existing compiler is demonstrated, and desirable
M. Banatre   +3 more
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Iteration and abstract data types

ACM SIGPLAN Notices, 1987
Numerous languages have been developed which support the creation of abstract data types. Introductions to such languages typically provide the standard stack and complex number examples to demonstrate their respective expressive power. While such examples fit neatly into the framework of these languages, only a few have attempted to deal with the ...
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Data structures, types and abstractions

The IEEE Computer Society's Second International Computer Software and Applications Conference, 1978. COMPSAC '78., 2005
The purpose of this paper is to explore the concepts and provide examples of data structures, data types and data abstractions The term data structures has been around for about 30 years; the term data type has been around for about 20 years; and the term data abstraction is a recent one and has been used for the last five years.
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Programs are abstract data types

Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001), 2005
We propose to view programs as abstract data types and to perform program changes by applying well-defined operations on programs. The ADT view of programs goes beyond the approach of syntax-directed editors and proof-editors since it is possible to combine basic update operations into larger update programs that can be stored and reused. It is crucial
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Fields, Meadows and Abstract Data Types

2008
Fields and division rings are not algebras in the sense of "Universal Algebra", as inverse is not a total function. Mending the inverse by any definition of 0(-1) will not suffice to axiomatize the axiom of inverse x(-1) · x = 1, by an equation. In particular the theory of fields cannot be used for specifying the abstract data type of the rational ...
Bergstra, J., Hirschfeld, Y., Tucker, J.
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PVM and Abstract Data Types

2000
Parallel Virtual Machine (PVM) [16] is a software system that permits a network of heterogeneous Unix computers to be used as a single large parallel computer. Thus large computational problems can be solved by using the aggregate power of many computers.
Willi-Hans Steeb   +2 more
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